2. stopnja MAG cycle Academic undergraduate progami 2stopnja... · Predmet: Energetska elektronika Course title: Power Electronics Študijski program in stopnja Study programme and

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Analiza II

Course title: Analysis II

Študijski program in stopnja Study programme and level

Študijska smer Study field

Letnik Academic

year

Semester Semester

Elektrotehnika 2. stopnja MAG

Electrical Engineering 2st cycle

Academic undergraduate

1. zimski Autumn

Vrsta predmeta / Course type Univerzitetna koda predmeta / University course code:

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work

Druge oblike študija

Samost. delo Individ.

work ECTS

45 45 90 6 Nosilec predmeta / Lecturer: Valerij Romanovskij Jeziki / Languages:

Predavanja / Lectures:

slovenski / Slovene

Vaje / Tutorial: slovenski / Slovene

Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti:

Prerequisits:

Znanje matematike iz prve stopnje študija. Mathematical knowledge from the 1st cycle of undergraduate study.

Vsebina:

Content (Syllabus outline):

• Integrali funkcij več spremenljivk: integrali s parametrom, dvojni, trojni in večkratni integrali, uvedba novih spremenljivk, koordinatni sistemi.

• Osnove diferencialne geometrije v prostoru: krivulje in ploskve.

• Skalarna in vektorska polja: diferencialni operatorji, krivuljni in ploskovni integrali. Greenov, Stokesov in Gaussov izrek.

• Avtonomni sistemi navadnih diferencialnih enačb: singularne točke, limitni cikli, fazne slike.

• Integrals of functions of several variables: parametric integrals, double, triple and multiple integrals, substitutions, systems of coordinates.

• Basics about differential geometry in space: curves and surfaces.

• Scalar and vector fields: differential operators, curve and surface integrals. Theorems of Green, Stokes and Gauss.

• Autonomous systems of ordinary differential equations: singular points, limit cycles, phase portraits.

• Stability of solutions of differential equations, Lyapunov

• Stabilnost rešitev diferencialnih enačb, funkcije Lyapunova.

• Uvod v parcialne diferencialne enačbe.

functions. • Introduction to partial differential equations.

Temeljni literatura in viri / Readings: • B. Brešar, F. Brešar: Analiza II, Univerza v Mariboru, FERI, Maribor, 2005. • B. Brešar, F. Brešar: Analiza III, Univerza v Mariboru, FERI, Maribor, 2003. • P. Mizori-Oblak: Matematika za študente tehnike in naravoslovja, II. del, Univerza v Ljubljani, Fakulteta za strojništvo,

Ljubljana, 1987. • J. S. Petrovic: Advanced calculus: Theory and Practice, Chapman and Hall/CRC, London, 2013. • S. Lang: Calculus of several variables, Third Edition, Springer, New York, 1987. • D.K. Arrowsmith and C.M. Place, Dynamical systems: Differential equations, maps, and chaotic behaviour.

London: Chapman & Hall, 1992. Cilji in kompetence: Objectives and competences: Cilj predmeta je študente seznaniti s teorijo funkcij več spremenljivk, nekaterimi metodami teorije dinamičnih sistemov in jih usposobiti za njihovo uporabo v tehniki.

The objective of this course is to acquaint students with theory of functions of several variables, some methods of the theory of dynamical systems and applications in engineering.

Predvideni študijski rezultati:

Intended learning outcomes:

Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izračunati večkratne, krivuljne in ploskovne integrale, • razumeti in uporabljati pojme diferencialne geometrije in

skalarnih ter vektorskih polj, • razumeti osnovne kvalitativne lastnosti rešitev sistemov

diferencialnih enačb.

Knowledge and understanding: On completion of this course the student will be able to • compute multiple, curve and surface integrals, • understand and apply notions of differential geometry,

scalar and vector fields, • understand main qualitative properties of solutions of

systems of differential equations.

Prenosljive/ključne spretnosti in drugi atributi: : • Spretnosti računanja: uporaba formul, metod in algoritmov

za funkcije več spremenljivk in diferencialne enačbe. • Uporaba informacijske tehnologije: programski paketi za

računanje. • Reševanje problemov: prevedba problemov iz tehnike v

matematično obliko, primerno za uporabo analitičnih metod.

Transferable/Key skills and other attributes: • Calculation skills: the use of formulas, methods and

algorithms for functions of several variables and differential equations

• Use of information technology: computer packages for calculus.

• Problem solving: transformation of engineering problems into mathematical form, suitable for the use of analytical methods.

Metode poučevanja in učenja:

Learning and teaching methods:

• predavanja, • seminarske vaje, • domače naloge.

• lectures, • tutorial, • homework assignments.

Načini ocenjevanja:

Delež (v %) / Weight (in %)

Assessment:

• opravljene domače naloge, • testi, • ustni izpit.

10 % 60 % 30 %

• completed homework, • tests, • oral examination.

Opomba: Testi se lahko nadomestijo s pisnim izpitom. Note: The tests may be replaced with a written exam. Reference nosilca / Lecturer's references: • ROMANOVSKI, Valery, SHAFER, Douglas. Complete integrability and time-reversibility of some 3-dim systems. Applied

Mathematics Letters, ISSN 0893-9659. [Print ed.], January 2016, vol. 51, str. 27-33, doi: 10.1016/j.aml.2015.07.006.

[COBISS.SI-ID 21562120] • DU, Zengji, ROMANOVSKI, Valery, ZHANG, Xiang. Varieties and analytic normalizations of partially integrable systems.

Journal of differential equations, ISSN 0022-0396, 2016, vol. 260, iss. 9, str. 6855-6871, doi: 10.1016/j.jde.2016.01.009. [COBISS.SI-ID 22043144]

• FERČEC, Brigita, GINÉ, Jaume, ROMANOVSKI, Valery, EDNERAL, Victor F. Integrability of complex planar systems withhomogeneous nonlinearities. Journal of mathematical analysis and applications, ISSN 1096-0813. [Online ed.], feb. 2016, vol. 434, issue 1, str. 894-914, doi: 10.1016/j.jmaa.2015.09.037. [COBISS.SI-ID 84566529]

• HAN, Maoan, ROMANOVSKI, Valery, ZHANG, Xiang. Integrability of a family of 2-dim cubic systems with degenerate infinity. Romanian journal of physics, ISSN 1221-146X, 2016, vol. 61, no. 1/2, str. 157-166. http://www.nipne.ro/rjp/2016_61_1-2/0157_0166.pdf. [COBISS.SI-ID 22041096]

• LI, Na, HAN, Maoan, ROMANOVSKI, Valery. Cyclicity of some Liénard Systems. Communications on pure and applied analysis, ISSN 1534-0392, 2015, vol. 14, no. 6, str. 2127-2150, doi: 10.3934/cpaa.2015.14.2127. [COBISS.SI-ID 21647880]

• LLIBRE, Jaume, ROMANOVSKI, Valery. Isochronicity and linearizability of planar polynomial Hamiltonian systems. Journal of differential equations, ISSN 0022-0396, 2015, vol. 259, iss. 5, str. 1649-1662, doi: 10.1016/j.jde.2015.03.009. [COBISS.SI-ID 21472264]

• FERČEC, Brigita, LEVANDOVSKYY, Viktor, ROMANOVSKI, Valery, SHAFER, Douglas. Bifurcation of critical periods of polynomial systems. Journal of differential equations, ISSN 0022-0396, 2015, vol. 259, iss. 8, str. 3825-3853, doi: 10.1016/j.jde.2015.05.004. [COBISS.SI-ID 2048020819]

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Inteligentno vodenje proizvodnih postopkov Course title: Intelligent Control for Production Industry



Letnik Academic year

Semester Semester

Elektrotehnika 2. stopnja Avtomatika in robotika 1. ali 2. zimski/poletni

Electrical Engineering 2nd level Automation and Robotics 1. or 2. Autumn/ Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo Individ. work ECTS

30 30 120 6 Nosilec predmeta / Lecturer: Marjan Golob Jeziki / Languages:

Predavanja / Lectures: slovenski / Slovene Vaje / Tutorial: slovenski / Slovene


Prerequisits:

Osnovno znanje teorije sistemov in Boolove algebre.

Basic knowledge of Systems theory and Boolean algebra.

Vsebina:


• Tehniški in gospodarski vidiki mehanskega dela, proizvajanja, proizvodov in pripadajočega vodenja.

• Proizvodni postopki: vrste, tipi, sestav. • Proizvodno sistemski proces: materialni,

energijski in podatkovni pretok, porazdelitev, ustroj, transport in optimiranje.

• Elastični PP: razvrščanje, vitka proizvodnja, JIT in JIS.

• Modeliranje proizvodnih sistemov: Petrijeve mreže, avtomati stanj.

• Inteligentne metode vodenja in odločanja, agenti, linearna in logična regresija, grupiranje.

• Mehka logika: mehka množica, pripadnostne funkcije, mehki logični operatorji, mehko sklepanje, mehka pravila, ostrenje.

• Mehke relacijske enačbe, samo učenje mehkih sistemov, mehko razvrščanje, odločitveni mehki sistemi, aproksimacija nelinearnih

• Technical and economic aspects of mechanical work, manufacturing, products, and control.

• Production processes: classification, typology elements.

• Manufacturing systems process: material, energy, and information flows, layouts, design, logistic and optimisation.

• Flexible manufacturing system: task sheduling, lean production, JIT, and JIS.

• Modeling manufacturing systems: Petri nets, state machines.

• Intelligent control methods and decision-making, agents, linear and logical regression, clustering.

• Fuzzy logic: fuzzy set, membership functions, fuzzy logic operators, fuzzy reasoning, fuzzy inference, fuzzy rules, defuzzyification.

• Fuzzy relational equations, self-learning of fuzzy systems, fuzzy clustering, fuzzy decision

funkcij z mehkimi sistemi, nevro-fuzzy sistemi, optimizacije, genetski algoritmi.

• Nevronske mreže: osnovni model nevrona, perceptron, struktura mreže, nelinearne aktivacijske funkcije, učenje nevronskih mrež, nadzorovano učenje, nenadzorovano učenje, gradientne metode.

• Več nivojske nevronske mreže, napredni algoritmi učenje, konvergenca učenja, povratno verižni algoritem.

• Primeri in projekti.

systems, fuzzy approximation of non-linear functions, neuro-fuzzy systems, optimization, genetic algorithms.

• Neural networks: basic model of a neuron, perceptron, network structure, nonlinear activation functions, learning of neural networks, supervised learning, unsupervised learning, gradient descent rule,

• Multilayer neural networks, advanced learning algorithms, learning convergence, back propagation algorithm.

• Case studies and projects. Temeljni literatura in viri / Readings: • J. A. Regh: Introduction to Robotics in CIM Systems, Prentice-Hall, Upper Saddle River, 1997. • J. Balič: Prilagodljivi in inteligentni obdelovalni sistemi ter računalniško integrirana proizvodnja, UM, FS,

Maribor, 2010. • T. J. Ross: Fuzzy logic with engineering applications, John Wiley & Sons Ltd, West Sussex, 2005. • N. Guid: Umetna inteligenca, Fakulteta za elektrotehniko, računalništvo in informatiko, Maribor, 2007. Cilji in kompetence:

Objectives and competences:

Cilj predmeta je v razumevanju proizvodnih postopkov in dati študentu znanje za reševanje tehničnih problemov z uporabo tehnik računske inteligence kot so mehka logika, nevronske mreže, genetski algoritmi, na znanju temelječi sistemi.

The objective of this course is to understand manufacturing processes, and to give student appropriate knowledge and skills necessary to solve technical problems using Computational Intelligence techniques such as fuzzy logic, neural networks, genetic algorithms and knowledge based systems.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • razumevanja avtomatizacijske tehnologije v

industriji, • analizirati učinkovitost proizvodnega procesa, • vrednotiti ekonomski in tehniški vidik

avtomatike in robotike v proizvodnih sistemih. • razumevanja naprednih konceptov in principov

računanja na osnovi nevronskih mrež in mehke logike kot pristopov inteligentnega reševanja problemov,

• analizirati, načrtovati in sestaviti tipične nevronske mreže, mehkega sistema in hibridnega sistema v programih za regresijsko analizo, klasifikacije vzorcev, detekcije in izolacije napak,

• izvesti inteligentne sisteme vodenja v robotiki, industrijski avtomatizaciji in inteligentnih zgradbah.

Knowledge and understanding: On completion of this course the student will be able to • demonstrate understanding and the meaning of

automation technology in industry, • analyze the manufacturing process efficiency, • evaluate economic and technology impact of

automation and robotics on manufacturing systems.

• understanding of the enhanced concepts and principles of neural and fuzzy logic based computation as an approach to intelligent problem-solving,

• analyse, design and implement typical neural networks, fuzzy and hybrid systems in software for regression, pattern classification, fault detection and isolation,

• realise intelligent control systems for robotic, industrial automation, and intelligent building applications.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: pisanje projektnega

Transferable/Key skills and other attributes: • Communication skills: writing the project report.

poročila. • Uporaba informacijske tehnologije: uporaba

programskih orodij za načrtovanje nevronskih mrež in mehkih sistemov.

• Reševanje problemov: načrtovanje in izvedba sistemov vodenja na osnovi inteligentnih sistemov.

• Organizacijske spretnosti: vodenje projekta. • Delo v skupini: pri projektih vodenja

proizvodnje.

• Use of information technology: use of neural network and fuzzy logic design software tools.

• Problem solving: designing and implementing of control systems based on intelligent systems.

• Organisation skills: project management. • Working in a group: for production

management projects.



• predavanja, • seminarske vaje, • projektno delo, • laboratorijske vaje.

• frontal lectures, • tutorial, • project work, • lab work.



Assessment:

• testi, • opravljen projekt, • laboratorijske vaje, • ustni izpit.

50 15 15 20

• tests, • completed project, • lab work, • oral exam.

Opomba: Testi se lahko nadomestijo s pisnim izpitom. Note: The tests may be replaced with a written axam. Reference nosilca / Lecturer's references: • RIŽNAR, Matej, VALENKO, Darko, GOLOB, Marjan, MUŠKINJA, Nenad. Optimized diving velocity and

depth control for diverʼs automatic buoyancy control device. Marine Technology Society journal, Jan./Feb. 2015, vol. 49, no. 1, str. 124-130.

• GOLOB, Marjan. Integrated models of a gas metal ARC welding process and inverter based power supply for process control simulation studies. Elektronika ir elektrotechnika, 2014, vol. 20, no. 7, str. 3-6.

• NOVAK, Mirjana, MOHLER, Ivan, GOLOB, Marjan, UJEVIĆ ANDRIJIĆ, Željka, BOLF, Nenad. Continuous estimation of kerosene cold filter plugging point using soft sensors. Fuel Processing Technology, Sep. 2013, vol. 113, str. 8-19.

• VALENKO, Darko, MEZGEC, Zdenko, PEC, Martin, GOLOB, Marjan. A diverʼs automatic buoyancy control device and its prototype development. Marine Technology Society journal, Nov./Dec. 2013, vol. 47, no. 6, str. 16-26.

• GOLOB, Marjan. Uporaba simulacijskih metod pri razvoju varilnih izvorov. Varilna tehnika, 2011, letn. 60, št. 1, str. 25-32.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Energetska elektronika Course title: Power Electronics




Semester Semester

Elektrotehnika 2. stopnja Avtomatika in robotika, Močnostna

elektrotehnika

1. zimski

Electrical Engineering 2nd level

Automation and Robotics, Power Engineering 1. Autumn


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Miro Milanovič Jeziki / Languages:



Prerequisits:

Osnovno znanje matematike, elektrotehnike in elektronike.

Basic knowledge of mathematics, electrical engineering and electronics.

Vsebina:


• Uvod: dc-dc pretvorniki, tokovna regulacija dc-dc, subharmonske oscilacije, poenostavljen modeli prvega reda za dc-dc pretvornike, pšm nadomestna vezja, tokovno programirana regulacija dc-dc, prenosne funkcije dc-dc pri zveznem in nezveznem toku.

• Pregled enosmernih motornih pogonov, pregled izmeničnih motornih pogonov, primerjava enosmernih in izmeničnih motornih pogonov, primerjava sinhronskih in asinhronskih motornih pogonov.

• Pretvorniki za motorne pogone z nastavljivo hitrostjo: šestkoračni izmenični razsmernika.

• Modulacijske tehnike: blokovne modulacije, pulzno širiski modulacijski algoritmi, vektorski modulacijski algoritmi.

• Modeliranje pretvornikov za motorne pogone: d-q model napetostnega pretvornika, d-q

• Introduction: dc-dc converters, current-mode control of dc-dc converters, sub-harmonic oscillation, a simple first-order model, pwm equivalent circuits, current programmed control of dc-dc converters, transfer functions in continuous and discontinuous current mode operation of dc-dc converters.

• Overview of dc motor drives and induction motor drives, comparison of dc-motors drive and induction motor drives, comparison of synchronous and induction motor drives.

• Inverters for adjustable speed: the six step voltage stiff inverter (VSI).

• Modulation techniques: block modulation, harmonic cancellation methods, sinusoidal three-angle modulation, and vector modulation.

• Modelling of solid state power converters: d-q model of voltage source inverters, d-q model of

model tokovnega pretvornika, model razsmernika v d-q sinhronem koordinatnem sistemu.

• Dualnosti napetostnega in tokovnega razsmernika.

• Matrični pretvorniki, trifazni ac-dc pretvorniki s korekcijo faktorja moči, modulacijski algoritmi, načrtovanje regulacije.

current source inverters, inverter d-q models in synchronous reference frame.

• Duality of voltage and current source inverters. • Matrix converter theory, three-phase ac-dc

conversion with unity factor correction, modulation algorithms, control design.

Temeljni literatura in viri / Readings: • M. Milanovič: Močnostna elektronika, učbenik, Univerza v Mariboru, Fakulteta za Elektrotehniko

računalništvo in informatiko, Maribor, 2007. • F. Mihalič: Energetska elektronika: (zbirka rešenih nalog), Univerza v Mariboru, Fakulteta za

Elektrotehniko računalništvo in informatiko, Maribor, 2008. • V. Ambrožič: Sodobne regulacije pogonov z izmeničnimi motorji, FE Ljubljana, 1996. • N. Mohan, T. M. Undeland, W. P. Robbins: Power Electronics:Converters, Applications and Design, John

Wiley & Sons, New York, 1989. • R.W Erickson, D. Maksimovič: Fundamentals of Power Electronics, Kluwer Academic press, 2001. Cilji in kompetence:


Cilj predmeta je naučiti študenta uporabe osnovnih načinov načrtovanja pretvornikov energetske elektronike.

The objective of this course is to learn students with the basic principles of power electronics circuit design.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati znanje in razumevanje osnov

načrtovanja pretvornikov energetske elektronike,

• analizirati, načrtovati in sestaviti dc-dc pretvornike, razsmernike diodne in tiristorske usmernike,

• uporaba simulacijskih tehnihk (SPICE, MATLAB-SIMULINK) pri načrtovanju pretvorniških vezij.

Knowledge and understanding: On completion of this course the student will be able to

• demonstrate knowledge and understanding of basic power electronics circuit design,

• analyse, design and implementation of DC-DC converters, inverters, diode and SCR rectifiers,

• usage of modern simulation techniques (SPICE, MATLAB-SIMULINK) in order to design power electronic converters.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: ustni zagovor

laboratorijskih vaj, pisno izražanje pri pisnem izpitu.

• Uporaba informacijske tehnologije: uporaba programskih orodij za načrtovanje vezij energetske elektronike.

• Spretnosti računanja: projektiranje posameznih sklopov pretvorniških struktur.

• Reševanje problemov: izdelava posameznih enostavnih pretvorniških struktur.

Transferable/Key skills and other attributes: • Communication skills: oral lab work defence,

manner of expression at written examination. • Use of information technology: use of software

package in order to design power electronics converters.

• Calculation skills: design of power electronics devices.

• Problem solving: implementation of simple power electronics systems.



• predavanja, • seminarske vaje, • laboratorijske vaje, • reševanje domačih nalog.

• lectures, • tutorial, • lab work, • homework assignments.



Assessment:

• test, • laboratorijske vaje, • pisni izpit.

20 % 35 % 45 %

• test, • laboratory work, • written exam.

Reference nosilca / Lecturer's references: • TRUNTIČ, Mitja, MILANOVIČ, Miro. Voltage and current-mode control for a buck-converter based on

measured integral values of voltage and current implemented in FPGA. IEEE transactions on power electronics, Dec. 2014, vol. 29, no. 12, str. 6686-6699.

• MATKO, Vojko, MILANOVIČ, Miro. Temperature-compensated capacitance-frequency converter with high resolution. Sensors and actuators. A, Physical, 2014, vol. 220, str. 262-269.

• MATKO, Vojko, MILANOVIČ, Miro. High resolution switching mode inductance-to-frequency converter with temperature compensation. Sensors, 2014, vol. 14, no. 10, str. 19242-19259.

• BJAŽIĆ, Toni, BAN, Željko, MILANOVIČ, Miro. Modeling of current mode controlled boost converter supplied by fuel cell suitable for controller design purposes. Journal of power sources, 15 Jan. 2012, vol. 198, str. 203-217.

• MILANOVIČ, Miro, ŠLIBAR, Primož. IDF-correction-based PWM algorithm for a three-phase AC-DC buck converter. IEEE transactions on industrial electronics, Aug. 2011, vol. 58, no. 8, str. 3308-3316.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Senzorski sistemi Course title: Sensor Systems




Semester Semester

Elektrotehnika 2. stopnja

Avtomatika in robotika 1. poletni

Electrical Engineering 2nd level Automation and Robotics 1. Spring Vrsta predmeta / Course type Univerzitetna koda predmeta / University course code:

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Denis Đonlagić Jeziki / Languages:



Prerequisits:

Osnovno znanje s področja elektrotehnike in fizike. Basic knowledge in the filed of electrical engineering and physics.

Vsebina:


• Meritve pretokov fluidov. • Mikro-elektromehanski sistemi (MEMS) in

senzorji. • Inercialni senzorji (pospeškometri in žiroskopi). • Senzorji vlažnosti, senzorji ionizirajočega

sevanja. • Osnove kemijskih senzorjev. • Optični senzorji na osnovi modulacije gostote

svetlobnega toka. • Spektralno razločljivi optični senzorji. • Laserska in nizko-koherenčna interferometrija. • Drugi optični senzorji. • Porazdeljeni senzorji in oživčene strukture. • Vlakenski senzorji in njihove aplikacije. • Prilagoditvena vezja za senzorske sisteme:

optimalna raba vezij z operacijskimi in drugimi

• Flow sensors. • Microelectromehanical systems (MEMS) and

sensors. • Inertial measurement systems (accelerometers,

gyroscopes). • Humidity and radiation sensors. • Introduction to chemical sensing. • Optical sensors based on intensity modulation. • Spectrally resolved optical sensors. • Laser and low coherence interferometry. • Other optical sensors. • Distributed sensors and smart structures. • Fiber optic sensors and their applications. • Design of the front end circuits in sensor

systems: optimum application of operational and other amplifiers (input and output errors,

ojačevalniki (vhodni in izhodni pogreški, stabilnost in šumi v merilnih sistemih, vezaja za nizko porabo in baterijsko napajana instrumentacija), instrumentacijski ojačevalnik, transimpedančni ojačevalnik, uporaba integratorja v seznoriki, strategijev v načrtovanje nizkošumnih vezij, in fazno vklenjen ojačevalnik.

stability and noise in measurement circuits, low power circuits and battery operated instrumentation), instrumentation amplifier, transimpedance amplifier, integrator in sensor systems, strategies in low noise circuit design, lock in amplifier.

Temeljni literatura in viri / Readings: • D. Đonlagić, M. Završnik, D. Đonlagić, Fotonika : uvodna poglavja., Univerza v Mariboru, Fakulteta za

elektrotehniko, računalništvo in informatiko, Maribor 1997. • J. Fraden: Handbook of Modern Sensors: Physics, Designs, and Applications (Handbook of Modern

Sensors), Springer Verlag, 2003. • F.T.S. Yu, Fiber Optic Sensors (Optical Engineering) , CRC Press, 2002.

Cilji in kompetence:


Cilj predmeta je osvojitev znanj s področja sodobne senzorike in osnovnih znanj potrebnih za uspešno načrtovanje senzorjev in senzorskih naprav.

The objective of this course is to obtain the knowledge in the field of modern sensors and to acquire skills necessaries to conduct independent design of sensors and sensing devices.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben: • poglobljeno poznavati in razumevati sodobne

senzorske sisteme, • grditi prilagoditvena vezja v senzorskih

sistemih, • izbirati in/ali načrtovati sodobne senzorje ali

senzorske sisteme, • samostojno inženirsko delati na področju

senzorike.

Knowledge and understanding: On completion of this course the student will be able to • get an in depth understanding of the modern

sensor systems, • perform front end circuit design for sensor

systems, • select and/or design of modern sensor system, • conduct independent engineering work in the

field of sensors.


laboratorijskih vaj in seminrskega dela, pisno izražanje pri pisnem izpitu.

• Uporaba informacijske tehnologije: uporaba spletnih orodij za dostop do tehničnih podatkov proizvajalcev senzorjev.

• Spretnosti računanja: izračun analognih elektronskih vezij.

• Reševanje problemov: načrtovanje in izvedba modernih senzorjev.


manner of expression at written examination. • Use of information technology: use of digital

web tools to access technical data and to determine availability of sensors.

• Calculation skills: design of analogue electronic circuits.

• Problem solving: designing and implementing of modern sensors.

Metode poučevanja in učenja: Learning and teaching methods: • predavanja, • seminarske vaje, • laboratorijske vaje.

• lectures, • tutorial, • lab work.



Assessment:

• laboratorijske vaje, • testi, • ustni izpit.

20 50 30

• lab work, • tests, • oral exam.

Opomba: Testi se lahko nadomestijo s pisnim izpitom. Note: The tests may be replaced with a written axam. Reference nosilca / Lecturer's references: • LEŠNIK, Dejan, ĐONLAGIĆ, Denis. In-line, fiber-optic polarimetric twist/torsion sensor. Optics letters,

2013, vol. 38, no. 9, str. 1494-1496. • PRETER, Eyal, PRELOŽNIK, Borut, ARTEL, Vlada, SUKENIK, Chaim N., ĐONLAGIĆ, Denis, ZADOK, Avi.

Monitoring the evaporation of fluids from fiber-optic micro-cell cavities. Sensors, 2013, vol. 13, no. 11, str. 15261-15273.

• PEVEC, Simon, ĐONLAGIĆ, Denis. Miniature all-fiber Fabry-Perot sensor for simultaneous measurement of pressure and temperature. Applied optics, Jul. 2012, vol. 51, no. 19, str. 4536-4541.

• CIBULA, Edvard, ĐONLAGIĆ, Denis. In-line Fabry-Pérot refractive index sensors. IEEE photonics technology letters, ISSN 1041-1135, 2011, vol. 23, no. 21, str. 1609-1611.

• PEVEC, Simon, ĐONLAGIĆ, Denis. All-fiber, long-active-length Fabry-Perot strain sensor. Optics express, 2011, vol. 19, no. 16, str. 15641-15651.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Sistemi daljinskega vodenja Course title: Remote Control Systems




Semester Semester

Elektrotehnika 2. stopnja Avtomatika in robotika 1. poletni Electrical Engineering 2nd level Automation and Robotics 1. Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Dušan Gleich Jeziki / Languages:



Prerequisits:

Poznavanje prenosa signalov in podatkov, komunikacij v avtomatiki.

Knowledge of signals and data transmissions and communications in automatization.

Vsebina:


• Osnove internet omrežja, osnove TCP/IP arhitekture in protokolov IPv4 in IPv6.

• Načrtovanje industrijskih komunikacijskih in informacijskih sistemov z vidika podatkovnih potreb ("data centric networking") in stališča porazdeljenega vodenja.

• Abstraktne proizvodne in periferne naprave, standardi DDS (sistem opisovanja naprav), gradniki uporabniške (osme) plasti kot osnova interoperabilnosti, iniciativa FIELDBUS.

• Industrijske komunikacije in vmesniki: Industrijski Ethernet – EtherCAT, Profinet, Modus bus, Power Ethernet.

• Zanesljivost in varnost komunikacijskih ter informacijskih sistemov.

• Odprte arhitekture za krmiljenje in nadzor proizvodnih, logističnih, telematskih, varnostnih in podobnih sistemov.

• Uporabnost Interneta v sistemih daljinskega vodenja (SDV).

• Basics of IP networks and basics of TCP/IP architecture and protocols IPv4, IPv6.

• Data centric design of industrial networks and information systems, from the aspect of distributed control (data centric networking).

• Abstract manufacturing and peripheral devices, standards DDS (device description system), interoperability and FIELDBUS initiative, purpose of eight’s layer.

• Communication protocols in industrial environment, EtherCat, Profinet, Modus bus, Power Ethernet.

• Reliability; and security of industrial information and communication systems.

• Open architecture for control and supervising of manufacturing, logistic, telematic, security and similar systems.

• Wireless technologies in remote control systems.

• Use of Internet in remote control systems.

• Brezžične tehnologije v SDV. • Omrežno vodeni regulacijski sistemi (NCS),

načini načrtovanja in stabilnost NCS sistemov. • Časovna sinhronizacija IEEE1588.

• Network control systems, design and stability. • Time synchronization using IEEE1588.

Temeljni literatura in viri / Readings: • L. Peterson, B. S. Davie, Computer Networks: A system Approach 5th edition, Elsevier Science (USA), San

Francisco 2012. • R. Zurawski: The Industrial Communication Technology Handbook, Taylor & Francis, Boca Raton 2005. • J. Lange, F. Iwanitz, T. J. Burke, OPC von data Access bis Unified Arhitecture, VDE Verlag, Berlin, 2010. • William S. Levine, Handbook of Networked and Embedded Control Systems, Birkhauser Boston, 2005. • Fei-Yue Wang, Derong Liu, Networked Control Systems Theory and Applications, Springer-Verlag

London, 2008 • W. Stallings, Business Data Communications- Infrastructure, Networking and Security (7th Edition),

2012 Cilji in kompetence:


Cilj tega predmeta je študentom avtomatike dati splošna znanja o podatkovnih telekomunikacijah in informacijskih sistemih v industriji, dati vpogled v posebnosti komunikacijskih in informacijskih sistemov v vodenju proizvodnje ter naučiti sistematike pri načrtovanju sistemov daljinskega vodenja.

The objective of this course is to give students of automatics a general knowledge about data telecommunications and information systems in industry, to give an insight to particularity of the communication and information systems used in manufacturing control and to learn systematic approach in design of remote controlled systems.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • obvladovati programska orodja za analizo in

načrtovanje gradnikov komunikacijskih sistemov,

• razumeti in načrtovati sodobne komunikacije in informacijske sisteme v sistemih računalniškega vodenja proizvodnje.

Knowledge and understanding: On completion of this course the student will be able to • skills for use of programming tools in the

analysis and design of communication building blocks,

• understand and design of modern communication systems in computer integrated manufacturing.



• Uporaba informacijske tehnologije: uporaba programskih orodij za načrtovanje komunikacijskih sistemov.

• Spretnosti računanja: izvajanje računskih operacij v komunikacijskih sistemih.

• Reševanje problemov: načrtovanje in izvedba preprostih komunikacijskih sistemov.


manner of expression at written examination. • Use of information technology: use of

communication system design software tools. • Calculation skills: performing basic calculating

operations in communication systems. • Problem solving: designing and implementing of

simple communication systems.



• predavanja, • seminarske vaje, • laboratorijske vaje, • projektne naloge.

• lectures, • tutorial, • lab work, • project based assignments.



Assessment:


40 % 50 % 10 %


Opomba: Testi se lahko nadomestijo s pisnim izpitom. Note: The tests may be replaced with a written axam. Reference nosilca / Lecturer's references: • GLEICH, Dušan, SINGH, Jagmal, PLANINŠIČ, Peter. Parametric and nonparametric methods for SAR

patch scene categorization. IEEE journal of selected topics in applied earth observations and remote sensing, 15. oktober 2014, vol. , no. , str. 1-12.

• GLEICH, Dušan, KSENEMAN, Matej, DATCU, Mihai. Despeckling of terraSAR-X data using second-generation wavelets. IEEE geoscience and remote sensing letters, jan. 2010, vol. 7, no. 1, str. 68-72.

• PLANINŠIČ, Peter, SINGH, Jagmal, GLEICH, Dušan. SAR image categorization using parametric and nonparametric approaches within a dual tree CWT. IEEE geoscience and remote sensing letters, Oct. 2014, vol. 11, no. 10, str. 1757-1761.

• GLEICH, Dušan. Detection of wet zones within a hydro-power plant's canal using SAR and GPR data. IEEE journal of selected topics in applied earth observations and remote sensing, Avg. 2013, vol. 6, no. 4, str. 1864-1878.

• GLEICH, Dušan, DATCU, Mihai. Despeckling and information extraction from SLC SAR images. IEEE transactions on geoscience and remote sensing, Avg. 2014, vol. 52, no. 8, str. 4633-4649.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Dinamika EES

Course title: Power System Dynamics



Letnik Academic

year

Semester Semester

Elektrotehnika 2. stopnja Electrical Engineering 2nd level

Močnostna elektrotehnika Power Engineering 1. poletni

Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work


Samost. delo Individ.

work ECTS

40 5 30 105 6 Nosilec predmeta / Lecturer: Boštjan Polajžer Jeziki / Languages:

Predavanja / Lectures:

slovenski / Slovene

Vaje / Tutorial: slovenski / Slovene


Prerequisits:

Osnovno znanje matematike, fizike, elektrotehnike in regulacij. Basic knowledge of mathematics, physics, electrical engineering and control engineering.

Vsebina:


• Uvod: splošne značilnosti obratovanja in vodenja EES v okviru UCTE združenja, princip otočnega in paralelnega obratovanja sinhronskega generatorja.

• Pretoki energije v EES: definicije energij in moči v stacionarnih stanjih in med prehodnimi pojavi, obravnava neuravnoteženih obratovalnih stanj, upoštevanje višjih harmonskih komponent, ortogonalne razstavitve tokov v časovnem in frekvenčnem področju.

• Dinamični modeli elementov EES: poenostavljeni dinamični modeli vodnih in parnih turbin, poenostavljeni dinamični model sinhronskega generatorja.

• Analiza in sinteza vodenja v otočnem obratovalnem režimu: določitev regulatorjev napetosti in frekvence, kompenzacije raznih vplivov.

• Introduction: general characteristics of electric power system control in frame of UCTE union, different possibilities of synchronous generator operation.

• Energy transmission in electric power system: definitions of power and energy in the steady state and in transient state, unbalanced operation of power system, higher harmonic components in power system, orthogonal decomposition of currents in single phase and three-phase systems in the time and in the frequency domain.

• Dynamical models of power system elements: simplified dynamical models of water and steam turbine, simplified dynamic model of synchronous generator.

• Analysis of local operation of synchronous generator: voltage and speed controller design, feed-forward

• Standardni vezni dinamični model sinhronskega stroja: modeliranje stroja s tremi in petimi navitji.

• Analiza in sinteza sinhroniziranega paralelnega delovanja sinhronskega generatorja: določitev regulatorjev delovne in jalove moči, različni obratovalni režimi z vidika proizvodnje delovne moči, sekundarni regulacijski sistemi v hidroelektrarnah.

• Primarna, sekundarna in terciarna regulacija v EES. • Analiza stabilnosti in sinteza stabilizatorjev kolesnega

kota. • Numerična analiza prehodnih stanj posameznih

elementov EES in celotnega sistema vodenja v okolju uveljavljenih programskih orodij.

compensations. • Standard circuit model of synchronous machine: modelling

of the machine with three and five windings. • Analysis of parallel operation of synchronous generator:

determination of active and reactive power controller settings.

• Primary, secondary and tertiary control of power system. • Transient and steady state analysis of the synchronous

generator operation and design of power system stabilizers. • Numerical analysis of transient behaviour of different

elements of power system and large power system using standard electromagnetic transient software, as well as laboratory verification of the results.

Temeljni literatura in viri / Readings: • D. Dolinar, G. Štumberger: Avtomatizacija v energetiki, Fakulteta za elektrotehniko, računalništvo in informatiko, Maribor, 2006. • B. Podlesnik: Avtomatizacija, vodenje in regulacije v EES, Fakulteta za elektrotehniko, računalništvo in informatiko, 1995. • M. Ilić, J. Zaborszky: Dynamics and Control of Large Electric Power Systems, John Wiley & Sons, Inc., 2000. • A.R. Bergen: Power system analysis, Prentice-Hall Series in ECE, 1986. • Yao-nan Yu: Electric Power Systam Dynamics, Academic Press, 1980.



Cilj predmeta je seznaniti študente z osnovnimi znanji s področja analize prehodnih stanj in regulacij EES.

The objective of this course is to acquaint students with knowledge about transient analysis and control of power systems.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati znanje in razumevanje s področij spremljanja

pretokov energije in dinamičnega modeliranja elementov EES,

• analizirati, načrtovati in sestaviti sistem vodenja posameznih elementov EES in sistema kot celote,

• ovrednotiti uporabnost različnih načinov vodenja posameznih elementov EES, posameznih podsistemov in povezanega EES kot celote.

Knowledge and understanding: On completion of this course the student will be able to • demonstrate knowledge and understanding of energy

transmission in power system and dynamic modelling of power system elements,

• analyse, design and implement different control concepts of individual power system elements and the system as a whole,

• evaluate the applicability of different control approaches of power system control.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: pisno izražanje pri pisnem

izpitu, ustni zagovor laboratorijskih vaj in vsebine predmeta.

• Uporaba informacijske tehnologije: uporaba programskih orodij za analizo modelov in načrtovanje vodenja, uporaba specifičnih krmilnikov za vodenje posameznih sklopov EES in celotnega sistema.

• Spretnosti računanja: računanje dinamičnih odzivov in nastavitev regulatorjev.

• Reševanje problemov: načrtovanje, izvedba in preizkušanje različnih sistemov vodenja posameznih elementov EES.

Transferable/Key skills and other attributes: • Communication skills: manner of expression at written

examination, oral lab work defence and oral examination. • Use of information technology: use of standard software for

numerical analysis of models, control design in different operation modes of power system.

• Calculation skills: calculation of dynamic responses, calculation of controller settings, calculation of power stabilizers.

• Problem solving: designing, laboratory realisation and testing of electric power plants and local power systems.



• Predavanja, • laboratorijske vaje, • reševanje domačih nalog.

• Lectures, • lab work, • homework assignments.



Assessment:

• Domače naloge, • laboratorijske vaje, • pisni izpit, • ustni izpit.

10 % 50 % 20 % 20 %

• Homework, • lab work, • written examination, • oral examination.

Reference nosilca / Lecturer's references: • DOLINAR, Drago, POLAJŽER, Boštjan. Dinamika EES : skripta. Maribor: Fakulteta za elektrotehniko, računalništvo in

informatiko, Laboratorij za vodenje elektromehanskih sistemov, 2010. 109 str., ilustr. [COBISS.SI-ID 18335254] • POLAJŽER, Boštjan, BREZOVNIK, Robert, RITONJA, Jožef. Evaluation of load frequency control performance based on

standard deviational ellipses. IEEE transactions on power systems, ISSN 0885-8950. [Print ed.], May 2017, vol. 32, no. 3, str. 2296-2304, doi: 10.1109/TPWRS.2016.2605152. [COBISS.SI-ID 20530966]

• RITONJA, Jožef, PETRUN, Martin, ČERNELIČ, Jernej, BREZOVNIK, Robert, POLAJŽER, Boštjan. Analysis and applicability of Heffron-Phillips model. Elektronika ir elektrotechnika, ISSN 1392-1215. [Print ed.], 2016, vol. 22, no. 4, str. 3-10, ilustr., doi: 10.5755/j01.eie.22.4.15905. [COBISS.SI-ID 19775766]

• POLAJŽER, Boštjan, DOLINAR, Drago, RITONJA, Jožef. Estimation of area's frequency response characteristic during large frequency changes using local correlation. IEEE transactions on power systems, ISSN 0885-8950. [Print ed.], July 2016, vol. 31, no. 4, str. 3160-3168, doi: 10.1109/TPWRS.2015.2470537. [COBISS.SI-ID 19552534]

• RITONJA, Jožef, DOLINAR, Drago, POLAJŽER, Boštjan. Adaptive and robust controls for static excitation systems. Compel, ISSN 0332-1649, 2015, vol. 34, no. 3, str. 864-881, doi: 10.1108/COMPEL-11-2014-0297. [COBISS.SI-ID 18677014]

• POLAJŽER, Boštjan, ŠTUMBERGER, Gorazd, DOLINAR, Drago. Detection of voltage sag sources based on the angle and norm changes in the instantaneous current vector written in Clarkeʼs components. International journal of electrical power & energy systems, ISSN 0142-0615. [Print ed.], Jan. 2015, vol. 64, str. 967-976, ilustr. [COBISS.SI-ID 18298646]

https://doi.org/10.1109/TPWRS.2016.2605152

http://cobiss.izum.si/scripts/cobiss?command=DISPLAY&base=COBIB&RID=20530966

https://doi.org/10.5755/j01.eie.22.4.15905


https://doi.org/10.1109/TPWRS.2015.2470537


https://doi.org/10.1108/COMPEL-11-2014-0297



UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Elektronski sestavi Course title: Electronic Systems




Semester Semester

Elektrotehnika 2. stopnja Elektronika 1. zimski Electrical Engineering 2nd level Electronics 1. Autumn


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



30 30 120 6 Nosilec predmeta / Lecturer: Iztok Kramberger Jeziki / Languages:



Prerequisits:

Osnovno znanje iz elektronike in signalov. Basic knowledge of electronics and signals.

Vsebina:


• Oscilatorji: osnovna zgradba in pogoja za oscilacije, tipi oscilatorjev, natančnost, stabilnost in točnost, fazni šum.

• Podatkovni pretvorniki: osnove analogno digitalne in digitalno analogne pretvorbe, tipi pretvornikov, šum kvantizacije, nad-vzorčenje, monolitnost, harmonska popačenja, diferenčna in integralna nelinearnost.

• Signalni sintetizatorji: osnovna zgradba fazne zanke, numerično nadzorovani oscilatorji, fazno amplitudna pretvorba, neposredni digitalni sintetizator.

• Digitalno filtriranje: osnove digitalnih filtrov, linearna diferenčna enačba, elementi digitalnih filtrov, kvantizacija, rekurzivna in ne-rekurzivna oblika, z-transformacija, ničle in poli, amplitudni in fazni odziv idealnih filtrov, linearni fazni odziv, digitalni resonator, inverzni filter.

• Načrtovanje digitalnih filtrov z omejenim trajanjem impulznega odziva: uporaba diskretne Fourierjeve transformacije, filtri z linearno fazo,

• Oscillators: basic structure and oscillation conditions, types of oscillators, accuracy, stability and precision, phase noise.

• Data converters: fundamentals of analog to digital and digital to analog conversion, converter types, quantization noise, oversampling, monolithism, harmonic distortion, differential and integral nonlinearity.

• Signal synthesisers: basic structure of phase loop, numerically controlled oscillators, phase to amplitude conversion, direct digital synthesiser.

• Digital filtering: fundamentals of digital filters, linear differential equation, elements of digital filters, quantization, recursive and non-recursive form, z-transformation, zeros and poles, amplitude and phase response of ideal filters, linear phase response, digital resonator, inverse filter.

• Design of digital filters with finite impulse response: use of discrete Fourier transformation, filters with linear phase, design

metode načrtovanja, funkcije oken, stabilnost, red filtra, valovitost pasov, pasovna širina prehoda, alternativna okna, večpasovni filtri, osnovne strukture in izvedbe.

• Načrtovanje digitalnih filtrov z neomejenim trajanjem impulznega odziva: pretvorba analognih filtrov v digitalno obliko, racionalna prenosna funkcija, stabilnost, bilinearna transformacija, osnovne strukture in izvedbe.

• Digitalni pretvorniki: kaskada interpolatorja in decimatorja, digitalna pretvorba navzdol, digitalna pretvorba navzgor.

• Tehnike digitalne modulacije: binarna modulacija z amplitudnim, frekvenčnim in faznim pomikom, kvadraturna modulacija s faznim pomikom, kvadraturna amplitudna modulacija, ortogonalno frekvenčno multipleksiranje (OFDM), neposredna digitalna sinteza (DDS).

methods, window functions, stability, filter order, band ripple, transition bandwidth, alternative windows, multiband filters, basic structures and implementations.

• Design of digital filters with infinitive impulse response: conversion of analog filters into digital form, rational transfer function, stability, bilinear transformation, basic structures and implementations.

• Digital converters: cascade of interpolator and decimator, digital down conversion, digital up conversion.

• Digital modulation techniques: binary amplitude-shift keying, binary frequency-shift keying, binary phase-shift keying, quadrature phase-shift keying, quadrature amplitude modulation, orthogonal frequency division multiplexing (OFDM), direct digital synthesis (DDS).

Temeljni literatura in viri / Readings: • B. A. Shenoi: Introduction to Digital Signal Processing and Filter Design, Wiley-Interscience, Hoboken,

2006. • V. F. Kroupa: Direct Digital Frequency Synthesizers, Wiley-IEEE Press, New York, 1998. • V. F. Kroupa: Frequency Stability: Introduction and Applications, Wiley-IEEE Press, Hoboken, 2012. • S. Winder: Analog and Digital Filter Design, Second Edition, Newnes, Elsevier Science, Boston, 2002.



Cilj predmeta je dati študentom potrebna znanja za izbiro in uporabo standardnih elektronskih gradnikov za izvedbo osnovnih elektronskih sestavov za ojačenje, oblikovanje, generiranje, pretvorbo in obdelavo signalov ter za razumevanje njihovega delovanja.

The objective of this course is to give students the necessary knowledge for selection and application of standard building blocks used for implementation of electronic circuits forshaping, generation, conversion and processing of signals and for understanding of their operation.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izbrati primerne gradnike za izvedbo osnovnih

elektronskih sestavov, • uporabiti standardne elektronske sestave za

oblikovanje, generiranje, pretvorbo in obdelavo signalov,

• razumeti in analizirati delovanje elektronskega sestava ter ovrednotiti rezultate.

Knowledge and understanding: On completion of this course the student will be able to • select appropriate building blocks for basic

electronic circuits implementation, • apply standard electronic systems for shaping,

generation, conversion and processing of signals,

• understand and analyse the electronic system operation and evaluate the results.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: ustno zagovarjanje

laboratorijskih vaj, pisno izražanje pri

Transferable/Key skills and other attributes: • Communication skills: oral lab work defense,

manner of written expression at lab work

dokumentiranju laboratorijskih vaj. • Uporaba informacijske tehnologije: iskanje

podatkov o elektronskih gradnikih in sestavih ter njihovi uporabi preko spletnih strani.

• Spretnosti računanja: določitev lastnosti elektronskih sestavov.

• Reševanje problemov: izbira standardnih elektronskih sestavov za reševanje različnih sistemskih zahtev.

• Praktične veščine: opravljanje laboratorijskih vaj in pridobivanje merilnih podatkov.

documentation. • Use of information technology: www searching

for technical data of electronic devices and systems and their applications.

• Calculation skills: determination of the electronic system properties.

• Problem solving: selection of standard electronic systems for solving of different system requirements.

• Practical skills: lab work performing and measurement data acquisition.



• predavanja, • seminarske vaje, • laboratorijske vaje.




Assessment:

• laboratorijske vaje, • test 1, • test 2.

50 25 25

• lab work, • test 1, • test 2.

Opomba: Testa se lahko nadomestita s pisnim izpitom. Note: The tests may be replaced with a written exam. Reference nosilca / Lecturer's references: • KRAMBERGER, Iztok, GRAŠIČ, Matej, ROTOVNIK, Tomaž. Door phone embedded system for voice

based user identification and verification platform. IEEE trans. consum. electron.. [Print ed.], Aug. 2011, vol. 57, no. 3, str. 1212-1217.

• KAČIČ, Zdravko, KRAMBERGER, Iztok. Postopek in naprava za gestikularno-vizualno komunikacijo = Procedure and device for gesticulative-visual communication : patent s spremenjenimi zahtevki Urada Republike Slovenije za intelektualno lastnino SI 21480 B, datum objave sprem. zahtevkov: 31. 1. 2013, Int. Cl. G09G 5/00; št. romunskega urada RO1019772 z dne 18. 6. 2012 : št. prijave P-200300086, datum prijave 7. 4. 2003, datum objave patenta SI 21480 A: 31 .10. 2004. Ljubljana: Urad Republike Slovenije za intelektualno lastnino, 2013.

• KRAMBERGER, Iztok. ESA/ESTEC projekt (Contract No. 4000106501/12/NL/KML): SDGS : final report. [S. l.: s. n., 2013]. 1 zv. (loč. pag.).

• KRAMBERGER, Iztok. Aplikativno preizkušanje in nadgradnja programske opreme za sledenje in lokacijsko štetje ljudi v video tokovih. Maribor: Fakulteta za elektrotehniko, računalništvo in informatiko, 2010. 8 str.

• KRAMBERGER, Iztok. Preizkušanje programskega modula krmiljenje sond. Maribor: UM FERI, 2012. 27 f., ilustr.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Mikroprocesorski sistemi Course title: Microprocessor Systems




Semester Semester

Elektrotehnika 2. stopnja Elektronika 1. poletni Electrical Engineering 2nd level Electronics 1. Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



30 30 120 6 Nosilec predmeta / Lecturer: Zmago Brezočnik Jeziki / Languages:



Prerequisits:

Znanje digitalne tehnike in osnov mikroprocesorjev.

Knowledge of digital logic design and bases of microprocessors.

Vsebina:


• Vhod/izhod (V/I): V/I organizacija mikroprocesorjev, programirani V/I, prekinitveni V/I, neposredni dostop do pomnilnika.

• V/I vmesniki: paralelni vmesniki, programabilni časovniki, serijska sinhrona in asinhrona komunikacija, vizualni indikatorji in prikazovalni moduli.

• Računalniška vodila: struktura, prekinitve na vodilu, arbitraža vodila, problemi šuma na vodilu, standardizirana notranja in zunanja računalniška vodila.

• Periferne naprave: pregled računalniške periferije, tipkovnice, monitorji, tiskalniki, trdi diski, optične enote.

• Orodja za načrtovanje in testiranje strojne opreme mikroprocesorskih sistemov: logični analizatorji, simulatorji, emulatorji.

• Orodja za načrtovanje in testiranje programske opreme mikroprocesorskih sistemov: zbirniki, povratni zbirniki, prevajalniki, povezovalniki,

• Input/output (I/O): I/O organisation in microprocessors, programmed I/O, interrupt-driven I/O, direct memory access.

• I/O interfaces: parallel interfaces, programmable timers, serial synchronous and asynchronous communication, visual indicators and display modules.

• Computer buses: structure, interrupts over a bus, bus arbitration, bus noise problems, standardised internal and external computer buses.

• Peripheral devices: overview of computer peripherals, keyboards, monitors, printers, hard disks, optical units.

• Tools for microprocessor systems hardware design and test: logic analysers, simulators, emulators.

• Tools for microprocessor systems software design and test: assemblers, disassemblers, compilers, linkers, loaders, debuggers.

• Contemporary trends in microprocessor systems

nalagalniki, iskalniki napak. • Sodobne smeri pri razvoju mikroprocesorskih

sistemov. • Gradnja sistemov z mikroprocesorji ali

mikrokrmilniki s poudarkom na komunikaciji med centralno procesno enoto (CPE) in realnim okoljem kot tudi na integraciji strojne in programske opreme napisane v zbirnem in visokem programskem jeziku.

development. • Building systems using microprocessors or

microcontrollers with a stress on communication between a central processing unit (CPU) and real environment as well as on the integration of hardware and software written in an assembler and a high-level language.

Temeljni literatura in viri / Readings: • Z. Brezočnik: Mikroračunalniški sistemi, delovno gradivo, Univerza v Mariboru, Fakulteta za

elektrotehniko, računalništvo in informatiko, Maribor, 2014. • W. Stallings: Computer Organization and Architecture: Designing for Performance, Eleventh Edition,

Prentice-Hall, Upper Saddle River, New Jersey, 2012. • S. R. Ball: Embedded Microprocessor Systems: Real World Design, Third Edition, Newnes, Oxford, 2002.



Cilj predmeta je naučiti študente uporabljati vhodno/izhodne vmesnike, računalniška vodila in periferne naprave ter orodja za razvoj in testiranje strojne in programske opreme mikroprocesorskih sistemov.

The objective of this course is to learn the students to use input/output interfaces, computer buses and peripherals as well as tools for microprocessor systems hardware and software development and testing.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • razložiti obstoječe tehnike komuniciranja med

CPE in V/I podsistemom ter izbrati primerno V/I organizacijo za načrtovan mikroprocesorski sistem,

• razlikovati in znati uporabljati različna standardizirana računalniška vodila,

• izkazati razumevanje delovanja perifernih naprav in jih znati povezati preko V/I vmesnikov na CPE,

• analizirati, načrtovati in testirati strojno opremo za V/I podsistem mikroprocesorskega sistema,

• razviti in testirati programsko opremo za mikroprocesorski ali mikrokrmilniški sistem v zbirniku in visokem programskem jeziku.

Knowledge and understanding: On completion of this course the student will be able to • explain the existent techniques for

communication between a CPU and an I/O subsystem and select the appropriate I/O organisation of the planned microprocessor system,

• differentiate and know how to use different standardised computer buses,

• demonstrate understanding of peripherals operation and know how to connect them over I/O interfaces to a CPU,

• analyse, design and test hardware for I/O subsystem of a microprocessor system,

• design and test software for a microprocessor- or microcontroller-based system in assembler and high-level programming language.


projekta, izražanje pri dokumentiranju projekta in pisnem izpitu.

• Uporaba informacijske tehnologije: pisanje programov in uporaba programskih orodij za

Transferable/Key skills and other attributes: • Communication skills: oral project defence,

manner of expression at documenting a project and written examination.

• Use of information technology: programming and use of program tools for hardware and

razvoj in testiranje strojne in programske opreme mikroprocesorskih sistemov.

• Organizacijske spretnosti: upravljanje projekta. • Reševanje problemov: razdelitev danega

problema na strojni in programski del, ločeno načrtovanje strojne in programske opreme, integracija in testiranje celotnega sistema.

• Delo v skupini: delo v skupini na projektu pri laboratorijskih vajah.

software development and testing of microprocessor-based systems.

• Organisation skills: project management. • Problem solving: partitioning of a given problem

to hardware and software part, separated hardware and software design, integration and testing of the whole system.

• Working in a group: collaboration on a project at lab work.







Assessment:

• opravljen projekt, • test 1, • test 2.

50 25 25

• completed project, • test 1, • test 2.

Opomba: Testa se lahko nadomestita s pisnim izpitom. Note: The tests may be replaced with a written exam. Reference nosilca / Lecturer's references: • BREZOČNIK, Zmago, VLAOVIČ, Boštjan, VREŽE, Aleksander. Model checking using Spin and SpinRCP =

Preverjanje modelov z uporabo orodij Spin in SpinRCP. Informacije MIDEM, Dec. 2013, vol. 43, no. 4, str. 235-250, ilustr.

• VREŽE, Aleksander, VLAOVIČ, Boštjan, BREZOČNIK, Zmago. Sdl2pml - tool for automated generation of Promela model from SDL specification. Computer standards & interfaces, June 2009, vol. 31, iss. 4, str. 779-786.

• KOVŠE, Tim, VLAOVIČ, Boštjan, VREŽE, Aleksander, BREZOČNIK, Zmago. Eclipse plug-in for spin and st2msc tools-tool presentation. 16th International SPIN Workshop, Grenoble, France, June 26-28, 2009 : proceedings, Berlin; Heidelberg; New York: Springer, 2009, vol. 5578, str. 143-147.

• BREZOČNIK, Zmago. Spin model checking using SpinRCP. V: 49th International Conference on Microelectronics, Devices and Materials & theWorkshop on Digital Electronic Systems, September 25 - September 27, 2013, Kranjska Gora, Slovenia. Proceedings. Ljubljana: MIDEM - Society for Microelectronics, Electronic Components and Materials, 2013, str. 45-57.

• BREZOČNIK, Zmago, VLAOVIČ, Boštjan, VREŽE, Aleksander. SpinRCP : the eclipse rich client platform integrated development environment for the spin model checker. V: 2014 International SPIN symposium on model checking of software : SPIN, July 21-23, 2014 San Jose, USA : proceedings. New York: ACM, 2014, str. 125-12.8

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Načrtovanje mikroelektronskih vezij Course title: Microelectronic Circuit Design




Semester Semester



Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Marko Kos Jeziki / Languages:



Prerequisits:

Poznavanje osnov: elektronike, elektronskih vezij, simulacij vezij in fizike.

Basic knowledge of: electronics, electronic circuits, circuit simulation and physics.

Vsebina:


• Tehnologije integriranih vezij: CMOS, BiCMOS. Profesionalna orodja za načrtovanje integriranih vezij.

• Modeliranje aktivnih gradnikov pri krmiljenju z malimi in velikimi signali.

• Modeliranje in integracija pasivnih komponent s poudarkom na visokofrekvenčnih lastnostih.

• Načrtovanje digitalnih integriranih sklopov ter optimizacija glede porabe – s poudarkom na tehnologijah pod 100 nm.

• Načrtovanje analognih integriranih vezij: Zahteve in omejitve. tokovna zrcala, tokovni viri, napetostni viri, kompenzirani bandgap referenčni viri, nizkošumni ojačevalniki, močnostni ojačevalniki, napetostni in tokovni primerjalniki, ter primeri uporabe v kompleksnejših aplikacijah (DA in AD pretvorniki, RF vezja, oscilatorji). Načrtovanje nizkonapetostnih vezij v tehnologijah CMOS

• Integrated circuit technologies: CMOS, BiCMOS. Professional VLSI design tools.

• Characterization, small and large signals modeling of active integrated devices.

• Modeling and integration of passive devices, focused on high frequency (RF).

• Digital IC circuit design, principles and optimization regarding switching noise and dynamic power dissipation with focus on technologies below 100 nm CMOS.

• Analog circuit design: Requirements and constraints, basic guidelines. Current mirrors, current and voltage references, bandgap reference sources, low noise amplifiers, power amplifiers, current and voltage comparators and their applications in more complex analog block design (D/A, A/D, RF circuits, oscillators). Low supply voltage design hints and expected performances (below 1V design) in CMOS

pod 100 nm. • Načrtovanje analogno/digitalnih vezij. • Analiza vezij s simulatorjem, (HSPICE) Analiza

najbolj neugodnih razmer. • Načrtovanje geometrije integriranih vezij,

pravila načrtovanja (DRC), tehnološke omejitve, navodila za načrtovanje geometrije analogno/digitalnih integriranih vezij.

• Načrtovanje za testiranje, elektromagnetno kompatibilnost (EMC), odpornost na elektrostatični preboj (ESD) in odpornost na tiristorski efekt.

technologies below 100 nm. • Mixed signal circuit design. • Circuit analysis (HSPICE,), Worst-case analysis. • Chip geometry design, constrains, design rules

(DRC), technology limitations, design for matching, high frequency layout, mixed signal layout guidelines.

• Design for test, electrostatic discharge ESD, electromagnetic compatibility EMC, and robustness to latch-up.

Temeljni literatura in viri / Readings: • A. Pleteršek: Načrtovanje analognih integriranih vezij v tehnologijah CMOS in BiCMOS, Fakulteta za

elektrotehniko, Univerza v Ljubljani, 2006. • W. Sansen: Analog circuit Essential, Springer, New York, 2006.

A. Pletersek: http://lmfe.fe.uni-lj.si/datoteke/gradivo//Analogna%20integrirana%20vezja%20in%20sistemi/lectures2010-2014.pdf

• A. Pletersek: http://lmfe.fe.uni-lj.si/datoteke/gradivo//Analogna%20integrirana%20vezja%20in%20sistemi/Analogna-integrirana-vezja-in-sistemi-vaje-2012.pdf

• A. Pletersek: http://lmfe.fe.uni-lj.si/datoteke/gradivo//Integrirani%20mikrosistemi%20in%20analogno%20digitalna%20integrirana%20vezja/optical-IC0.pdf

• S. G. Narendra, A. Chandrakasan: Leakage in nanometer CMOS technologies, Springer, 2005. Cilji in kompetence:


Cilj predmeta je naučiti študente uporabe mikroelektronskih tehnologij in tehnik načrtovanja modernih integriranih sistemov.

The objective of this course is to teach the students to face with the VLSI technologies and modern integrated system design based on global understanding of VLSI production environment.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • Razumeti in izbrati ustrezno tehnologijo in

oceniti izvedljivost sistemskih zahtev • Razumeti postopke načrtovanja ASIC vezij • Načrtati osnovne analogne in digitalne

gradnike. • Razumeti mikroelektronske procese,

tehnološke parametre. • Uporabljati moderna načrtovalska orodja IC

vezij v Linux okolju.

Knowledge and understanding: On completion of this course the student will be able to • Understand and select adequate technology and

evaluate the feasibility of system requirements. • Understand the basic procedures of ASIC design • Design the basic analog and digital building

blocks. • Understand the microelectronics processes,

parameters. • Use modern design tools for IC design in Linux

environment.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: pisna in ustna

predstavitev rezultatov dela in raziskav, sodelovanje pri delu.

• Uporaba informacijske tehnologije:

Transferable/Key skills and other attributes: • Communication skills: oral and written

presentation of research work, cooperation activities.

• Use of information technology: ASIC design

http://lmfe.fe.uni-lj.si/datoteke/gradivo/Analogna%20integrirana%20vezja%20in%20sistemi/lectures2010-2014.pdf

http://lmfe.fe.uni-lj.si/datoteke/gradivo/Analogna%20integrirana%20vezja%20in%20sistemi/lectures2010-2014.pdf

https://mail-fe.fe1.uni-lj.si/owa/redir.aspx?C=EtP8ZWyq6keIH7EWeJbQDEwddMAR588IB05lmbQrgqwL4BibJhQVmo023Eq56_70OWUP6ithn28.&URL=http%3a%2f%2flmfe.fe.uni-lj.si%2fdatoteke%2fgradivo%2f%2fAnalogna%2520integrirana%2520vezja%2520in%2520sistemi%2fAnalogna-integrirana-vezja-in-sistemi-vaje-2012.pdf



http://lmfe.fe.uni-lj.si/datoteke/gradivo/Integrirani%20mikrosistemi%20in%20analogno%20digitalna%20integrirana%20vezja/optical-IC0.pdf



načrtovalska orodja. • Organizacijske spretnosti: organizacija in

delitev laboratorijskega dela v skupini. • Spretnosti računanja: inženirski pristop k

ocenjevanju parametrov in nabiranje ter uporaba preteklih izkušenj.

• Reševanje problemov: razumevanje problemov in iskanje najugodnejše rešitve z upoštevanjem tehnoloških omejitev.

tools. • Organization skills: technology limitations, split

project between groups, communication between groups.

• Calculation skills: Acceptance of engineering basic estimation approach based on getting filling, best personal judgment and verification using simplified non-equation approach.

• Problem solving: understanding problems, finding best solution within technology limits.







Assessment:

• sodelovanje pri predavanjih in vajah,

• laboratorijske vaje, • pisni izpit, • ustni izpit.

10

30 40 20

• collaboration in lectures, tutorials and lab work,

• completed lab work, • written exam, • oral exam.

Reference nosilca / Lecturer's references: • KIRBIŠ, Gregor, SELČAN, David, KOS, Marko, KRAMBERGER, Iztok. High performance autonomous

charge equalization in series connected batteries. IEEE transactions on aerospace and electronic systems, ISSN 0018-9251, Date of Publication: 19 June 2018, str. 1-12, doi: 10.1109/TAES.2018.2848343. [COBISS.SI-ID 21547798]

• KOS, Marko, ROJC, Matej, ŽGANK, Andrej, KAČIČ, Zdravko, VLAJ, Damjan. A speech-based distributed architecture platform for an intelligent ambience. Computers & electrical engineering, ISSN 0045-7906, Published online July 18, 2017, str. 1-15, doi: 10.1016/j.compeleceng.2017.07.010. [COBISS.SI-ID 20686358]

• KOS, Marko, KRAMBERGER, Iztok. A wearable device and system for movement and biometric data acquisition for sports applications. IEEE access, ISSN 2169-3536, 2017, vol. 5, str. 641-6420. https://dk.um.si/IzpisGradiva.php?id=67145, doi: 10.1109/ACCESS.2017.2675538. [COBISS.SI-ID 20400662]

• KOS, Marko, KAČIČ, Zdravko, VLAJ, Damjan. Acoustic classification and segmentation using modified spectral roll-off and variance-based features. Digital signal processing, ISSN 1051-2004, 2013, vol. 23, iss. 2, str. 659-674, doi: 10.1016/j.dsp.2012.10.008. [COBISS.SI-ID 16450838]

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Podatkovne in računalniške komunikacije Course title: Data and Computer Communications




Semester Semester



Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Tatjana Kapus Jeziki / Languages:



Prerequisits:

Osnovno znanje računalništva. Basic knowledge of computer science.

Vsebina:


• Uvod: pregled podatkovnih komunikacij in omrežij, protokolne arhitekture.

• Fizični sloj: poškodbe pri prenosu, prenosna sredstva, digitalna modulacija in digitalizacija, multipleksiranje, metode z razširjenim spektrom.

• Osnove prenosa podatkov: serijski prenos, komunikacijski načini, prenosni načini.

• Sloj podatkovne povezave: odkrivanje napak, protokoli za nadzor napak in krmiljenje pretoka, upravljanje povezave.

• Lokalna omrežja: problem dodeljevanja skupnega kanala, standardna žična in brezžična lokalna omrežja.

• Prostrana omrežja: vodovno in paketno preklapljanje, usmerjanje v paketno preklapljanih omrežjih, nadzor zamašitev v

• Introduction: data communications and networking overview, protocol architectures.

• The physical layer: transmission impairments, transmission media, digital modulation and digitisation, multiplexing, spread spectrum methods.

• Data transmission basics: serial transmission, communication modes, transmission modes.

• The data link layer: error detection, protocols for error control and flow control, connection management.

• Local area networks: the shared channel allocation problem, standard wired and wireless local area networks.

• Wide area networks: circuit and packet switching, routing in packet-switched networks, congestion control in packet-switched networks.

paketno preklapljanih omrežjih. • Internet: medmrežni protokoli, delovanje

medmrežij, transportni protokoli, primeri aplikacijskih protokolov.

• Internet: internetwork protocols, internetwork operation, transport protocols, examples of application protocols.

Temeljni literatura in viri / Readings: • W. Stallings: Data and Computer Communications, Tenth Edition, Pearson, Harlow, 2014. • A. S. Tanenbaum, D. Wetherall: Computer Networks, Fifth Edition, Pearson, Boston, 2014. • B. A. Forouzan: Data Communications and Networking, Fifth Edition, McGraw-Hill, New York, 2013. • F. Halsall: Computer Networking and the Internet, Fifth Edition, Addison-Wesley, Harlow, 2005. • A. Leon-Garcia, I. Widjaja: Communication Networks, Second Edition, McGraw-Hill, Boston, 2004.



Cilj predmeta je seznaniti študente z osnovnimi principi in različnimi vrstami podatkovnih ter računalniških komunikacij in omrežij.

The objective of this course is to introduce students to the basic principles as well as different types of data and computer communications and networks.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • pojasniti osnovne principe prenosa podatkov in

delovanja podatkovnih omrežij, • razlikovati med različnimi vrstami računalniških

omrežij, njihovih gradnikov in protokolov glede na namen in sloje delovanja,

• izvesti osnovne izračune v zvezi s prenosom podatkov in naslavljanjem v omrežjih,

• izvesti osnovne nastavitve omrežne opreme ter uporabiti preproste storitve in orodja za analizo delovanja in učinkovitosti omrežij.

Knowledge and understanding: On completion of this course the student will be able to • explain the basic principles of data transmission

and data network operation, • differentiate between the different kinds of

computer networks, their components, and protocols in terms of their purpose and layers of operation,

• perform basic calculations regarding data transmission and network addressing,

• perform basic network equipment configuration and apply simple services and tools for network operation and performance analysis.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: pisanje poročil pri

laboratorijskih vajah, pisno izražanje pri domačih nalogah in testih oziroma izpitu.

• Uporaba informacijske tehnologije: uporaba omrežne opreme, uporaba orodij za analizo delovanja in učinkovitosti omrežij.

• Spretnosti računanja: osnovni izračuni v zvezi s podatkovnim prenosom in naslavljanjem.

• Reševanje problemov: reševanje manj zahtevnih problemov analize učinkovitosti v omrežju.

Transferable/Key skills and other attributes: • Communication skills: written reports on lab

work , writing of homework assignments and tests or exam.

• Use of information technology: use of network equipment, use of tools for analysis of network operation and performance.

• Calculation skills: basic calculations regarding data transmission and addressing.

• Problem solving: solving moderate network performance analysis problems.



• predavanja, • seminarske vaje, • laboratorijske vaje, • domače naloge.




Assessment:

• opravljene domače naloge, • laboratorijske vaje, • test 1, • test 2.

10 40 25 25

• completed homework assignments, • lab work, • test 1, • test 2.

Opomba: Testa se lahko nadomestita s pisnim izpitom. Note: The tests may be replaced with a written exam. Reference nosilca / Lecturer's references: • KAPUS, Tatjana. Closing a system in the dynamic input/output automata model. The Computer journal,

2011, vol. 54, no. 7, str. 1038-1048. • KAPUS, Tatjana. Specifying system families with TLA+. V: RUDAS, Imre J. (ur.). Recent researches in

engineering education and software engineering : proceedings of the 11th WSEAS International conference on software engineering, parallel and distributed systems (SEPADS '12), Cambridge, UK, February 22-27, 2012. WSEAS Press, cop. 2012, str. 98-103.

• KAPUS, Tatjana. Modelling medium access control in IEEE 802.15.4 nonbeacon-enabled networks with probabilistic timed automata. Journal of mobile information systems, 2013, vol. 9, no. 2, str. 157-188.

• KAPUS, Tatjana. Uporaba formalne verifikacije za analizo učinkovitosti omrežij. V: Trideseta delavnica o telekomunikacijah, 12. in 13. maj 2014, Brdo pri Kranju, Slovenija. SIMIČ, Nikolaj (ur.). Omrežja prihodnosti : zbornik referatov (VITEL). Ljubljana: Elektrotehniška zveza Slovenije, 2014, str. 65-68.

• KAPUS, Tatjana. Specifying and verifying external behaviour of fair input/output automata by using the temporal logic of actions. Sprejeto za objavo v Informatica (IOS Press).

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Električni stroji Course title: Electrical Machines




Semester Semester

Elektrotehnika 2. stopnja Močnostna elektrotehnika 1. poletni Electrical Engineering 2nd level Power Engineering 1. Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Jožef Ritonja Jeziki / Languages:



Prerequisits:

Poznavanje osnov električnih in elektromehanskih pretvornikov.

Knowledge of basic electrical and electromechanical converters.

Vsebina:


• Uvod: magnetni krogi električnih strojev, vzbujanje različnih konfiguracij, navitja strojev z vrtilnim poljem, magnetno polje v zračni reži, tokovna obloga, izračun reaktanc rotacijskih strojev, izgube izkoristek, segrevanje in ohlajevanje.

• Transformator: konstrukcija transformatorja, posebne izvedbe transformatorjev, nesimetrična obremenitev, prenapetosti in testi.

• Asinhronski stroj: konstrukcija asinhronskih strojev, problemi zagona in vpliv višjih harmonskih komponent, obratovanje trifaznih asinhronskih motorjev s frekvenčnim

• Introduction: magnetic circuits of electric machines, excitation of different configuration, windings of alternating machines, air gap field, current loading, calculation of reactance's of rotation machines, losses, efficiency, heating and cooling.

• Transformer: construction, particular transformer types, unsymmetrical load, high voltages and tests.

• Induction Machines: construction of induction machines, starting problems and influence of high harmonics, inverter driven three-phase induction machine, induction generator on own network, theory of single phase induction

pretvornikom, asinhronski generator na lastnem omrežju, teorija enofaznih asinhronskih motorjev, posebne izvedbe asinhronskih strojev.

• Sinhronski stroj: reaktance sinhronskih strojev, krivulje V, statična in dinamična stabilnost, sinhronski stroj na lastnem omrežju, obratovanje trifaznih sinhronskih strojev s frekvenčnim pretvornikom, posebne izvedbe sinhronskih strojev.

• Komutatorski stroj: navitja komutatorskih strojev, nestacionarno obratovanje enosmernih komutatorskih strojev, elektronsko komutirani motorji, univerzalni motor, posebne izvedbe komutatorskih strojev.

machines, particular types of induction machines.

• Synchronous Machines: reactances of synchronous machines, V-curves, static and dynamic stability, synchronous machine on own network, inverter driven three-phase synchronous machine, , particular types of synchronous machines.

• Commutator Machines: armature windings, dynamics of dc commutator machines, brushless DC motors, universal motor, particular types of commutator machines.

Temeljni literatura in viri / Readings: • I. Zagradišnik: Izbrana poglavja iz transformatorjev, skripta, Fakulteta za elektrotehniko, računalništvo

in informatiko, 1. izdaja, Maribor, 2003, ponatis Maribor, 2006. • I. Zagradišnik , B. Slemnik: Električni rotacijski stroji, učbenik, Fakulteta za elektrotehniko,

računalništvo in informatiko, 4. popravljena izdaja, Maribor, 2007. • G. Mueller: Elektrische Maschinen – Theorie, VEB Verlag Technik Berlin, 1967. • Z. Sirotić, Z. Maljković: Sinkroni strojevi, Fakultet elektrotehnike i računarstva, Zagreb, 1996. • B. Jurković, Z. Smolčič: Kolektorski strojevi, Školska knjiga, Zagreb, 1986.



Cilj predmeta je naučiti študente teorije standardnih in posebnih električnih strojev ter analitičnih in numeričnih izračunov obratovanja različnih električnih strojev.

The objective of this course is to learn the students the theory of standard and special electrical machines and analytical and numerical calculation of operation of different type of electrical machines.



Znanje in razumevanje: Po zaključku tega predmeta študent • pozna in razume delovanje in teorijo delovanja

standardnih in posebnih vrst električnih strojev,

• pozna navitja izmeničnih in enosmernih strojev,

• pozna analitični izračun različnih vrst električnih strojev.

Knowledge and understanding: On completion of this course the student should • have knowledge and understanding of working

and theory of standard and special electric machines,

• have knowledge of alternating and DC winding, • have knowledge of analytical calculation of

different types of electrical machines.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: ustni izpit.

Transferable/Key skills and other attributes: • Communication skills: oral examination.

• Uporaba informacijske tehnologije: meritve z računalnikom.

• Spretnosti računanja: matematična teorija strojev.

• Reševanje problemov: analitični izračun karakteristik.

• Delo v skupini: delo v skupini pri laboratorijskih vajah.

• Use of information technology: measurements with PC.

• Calculation skills: mathematical theory of electrical machines.

• Problem Solving: analytical calculating of characteristics.

• Working in a group: working in a group during lab work.



• predavanja, • seminarske vaje, • laboratorijske vaje, • domače naloge.




Assessment:

• test, • laboratorijske vaje, • kolokvij.

50 30 20

• test, • lab work, • preliminary oral assessment.

Opomba: Test se lahko nadomesti s pisnim izpitom, kolokvij pa z ustnim izpitom. Note: The test may be replaced with a written exam and the preliminary oral assessment may be replaced with an oral exam. Reference nosilca / Lecturer's references: • RITONJA, Jožef. Adaptive stabilization for generator excitation system. Compel, 2011, vol. 30, no. 3,

str. 1092-1108. • RITONJA, Jožef, POLAJŽER, Boštjan. Regulacijski sistemi sinhronskih generatorjev. Ventil, dec. 2014,

letn. 20, št. 6, str. 460-466. • RITONJA, Jožef. Adaptive and robust control for a semiconductorʼs excitation systems. V: XXIII

Symposium Electromagnetic Phenomena in Nonlinear Circuits, July 2 - July 4, 2014, Pilsen, Czech Republic. Proceedings. Pilsen: University of West Bohemia; Poznań: PTETIS Publishers, 2014, str. 93-94.

• RITONJA, Jožef, DOLINAR, Drago, GRČAR, Bojan, CAFUTA, Peter. Adaptive control for synchronous machine. V: IEEE ICMA 2012 : 2012 IEEE International Conference on Mechatronics and Automation : [proceedings]. [Piscataway: IEEE, 2012], str. 1530-1535.

• RITONJA, Jožef, DOLINAR, Drago, GRČAR, Bojan. Adaptive control for damping of power system oscillations. V: Chinese control and decision conference, 17-19 June 2009, Guilin, China. Singapore: IEEE Industrial Electronics (IE) Chapter, 2009, str. 734-739.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Materiali s posebnimi lastnostmi in pojavi Course title: Materials with Special Properties and Phenomena




Semester Semester

Elektrotehnika 2. stopnja Močnostna elektrotehnika 1. poletni Electrical Engineering 2nd level Power Engineering 1. Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Anton Hamler Jeziki / Languages:



Prerequisits:

Osnovno znanje elektrotehnike in poznavanje osnovnih inženirskih materialov.

Basic knowledge of electrical engineering and knowledge of basic engineering materials.

Vsebina:


• Struktura materiala: makrostruktura, mikrostuktura in nanostruktura.

• Rast mikrostrukture: strjevanje, postopki, napake.

• Vrste materialov: kovine, keramika, steklo, polimeri, kompoziti.

• Difuzija: nestacionarna, stacionarna, temperaturni vpliv na koeficient difuzije, gibanje atomov med difuzijo, ionska prevodnost.

• Reakcije in transformacije: fazni diagram in mikrostruktura, martenzitna transformacija, sintranje.

• Oksidacija in redukcija: redox reakcija, galvanski člen, baterije, korozija, elektroliza, galvanizacija, pasivizacija.

• Structure of materials: macrostructures, microstructures and nanostructures.

• Development of microstructure: solidification, processing, defects.

• Classes of materials: metals, ceramics, glass, polymers, composites.

• Diffusion: nonsteady-state, steady-state, temperature variation of the diffusion coefficient, atomic movement during diffusion, ionic conductivity.

• Reaction and transformation: phase diagrams and microstructures, martensitic transformations, sintering.

• Oxidation and reduction: redox reactions, galvanic cells, batteries, corrosion, electrolysis, electroplating, passivation.

• Mehanske lastnosti: deformacije, časovno

odvisne lastnosti, lastnosti nanoplasti, lastnosti kompozitnih materialov.

• Izolacijski materiali: dielektriki, piezoelektriki, piroelektriki, feroelektriki.

• Magnetni materiali: tipi magnetnih materialov, feromagnetni materiali, mikrostruktura feromagnetikov, nanostrukture, magnetostrikcija, magnetoupornost, magnetokalorčni pojav, Kerrov pojav.

• Elektronska prevodnost: kovine, polprevodniki, prevodni polimeri, superprevodnost.

• Toplotne lastnosti: temperaturni učinki, termoelektrični pojav, termočlen, Peltierjev efekt.

• Izbira materiala: lastnosti materialov, struktura materiala, okolje.

• Mechanical properties: deformation, time-dependent properties, nanoscale properties, composite material properties.

• Insulating solids: dielectrics, piezoelectrics, pyroelectrics, ferroelectrics.

• Magnetic material: type of magnetic material, ferromagnetic materials, microstructures of ferromagnetic, nanostructures, magnetostriction, magnetoresistance, magnetocaloric effect, Kerr effect.

• Electronic conductivity: metals, semiconductor, conducting polymers, superconductivity.

• Thermal properties: temperature effects, thermoelectric effects, thermocouples, Peltier effect.

• Material selection: material properties, material structure, environment.

Temeljni literatura in viri / Readings: • A. Hamler, B. Hribernik: Elektrotehnični materiali, Univerza v Mariboru, Fakulteta za elektrotehniko,

računalništvo in informatiko, Maribor, 2005. • R. Tilley: Understanding Solids, John Wiley &Sons, Hoboken, 2004. • J. F. Shackelford: Materials Science for Engineers, Sixth Edition, Pearson Prentice Hall, London, 2005. • J. P. Schaffer, A. Saxena, S. D. Antolovich, T. H. Sanders, S. B. Warner: The Science and Design of

Engineering materials, Second Edition, McGraw-Hill, Boston, 1999. • P. Osmokrović: Elektrotehnički materiali, Akademska misao, Beograd, 2003.



Cilj tega predmeta je pridobiti znanje iz področja fizikalnih lastnosti materialov, možnostjo uporabe materialov v elektrotehniki, postopki obdelave materialov in njihovi vplivi na okolje.

The objective of this course is to acquire knowledge in the field of the physics properties of the materials, possibility of use materials in electro technology, procedures of materials treatment and their impact on environment.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati razumevanje fizikalnih pojavov v

materialih,

• napovedati in presojati obnašanje materialov v realnem okolju,

• izbrati material za določen namen in izbrati primerno tehnologijo obdelave materiala,

• prepoznati potencialne probleme z materiali.

Knowledge and understanding: On completion of this course the student will be able to • demonstrate understanding physical properties

of the materials, • predict and criticise behaviour of materials in

realistic environment. • select materials for certain intention and select

properly technology of material treatment, • recognized potential problems with materials.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: pisanje strokovnega

Transferable/Key skills and other attributes: • Communication skills: writing of professional

poročila o opravljenih vajah, ustni zagovor laboratorijskih vaj, pisno izražanje pri pisnem izpitu.

• Uporaba informacijske tehnologije: uporaba programskih orodij za obdelavo izmerjenih podatkov.

• Spretnosti računanja: izvajanje osnovnih matematičnih operacij pri laboratorijskih vajah.

• Delo v skupini: izvajanje laboratorijskih vaj.

report concerning finished exercise, oral lab work defence, manner of expression at written examination.

• Use of information technology: use of software tools for processing of measure data.

• Calculation skills: execution of basic mathematical operations at lab exercises.

• Working in a group: execution of lab exercises.



• predavanja, • seminarske vaje, • laboratorijske vaje, • projekt.

• lectures, • tutorial, • lab work, • project.



Assessment:

• laboratorijske vaje, • opravljen projekt, • testi.

20 10 70

• lab work, • completed project, • tests.

Opomba: Testi se lahko nadomestijo s pisnim izpitom. Note: The tests may be replaced with a written exam. Reference nosilca / Lecturer's references: • BIZJAK, Martin, BEKOVIĆ, Miloš, HAMLER, Anton. Spark breakdown in gas-discharge-tube surge

arrester at voltage pulse. IEEE transactions on power delivery, Date of publication: 5. Dec. 2014, vol. , no. , str. 1-8.

• TRLEP, Mladen, JESENIK, Marko, HAMLER, Anton. Transient calculation of electromagnetic field for grounding system based on consideration of displacement current. IEEE transactions on magnetics, Feb. 2012, vol. 48, no. 2, str. 207-210.

• ČREPINŠEK-LIPUŠ, Lucija, AČKO, Bojan, HAMLER, Anton. Magnetic device simulation modelling and optimisation for scale control. International journal of simulation modelling, 2012, vol. 11, iss. 3, str. 141-149.

• FERK, Gregor, STERGAR, Janja, DROFENIK, Mihael, MAKOVEC, Darko, HAMLER, Anton, JAGLIČIĆ, Zvonko, BAN, Irena. The synthesis and characterization of copper-nickel alloy nanoparticles with a narrow size distribution using sol-gel synthesis. Materials letters, 2014, vol. 124, str. 39-42.

• BEKOVIĆ, Miloš, TRLEP, Mladen, JESENIK, Marko, HAMLER, Anton. A comparison of the heating effect of magnetic fluid between the alternating and rotating magnetic field. Journal of Magnetism and Magnetic Materials, Apr. 2014, vol. 355, str. 12-17.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Optoelektronika Course title: Optoelectronics




Semester Semester

Elektrotehnika 2. stopnja 1. zimski

Electrical engineering 2nd level 1. Autumn Vrsta predmeta / Course type Univerzitetna koda predmeta / University course code:

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Denis Đonlagić Jeziki / Languages:



Prerequisits:

Osnove elektrotehnike, elektronika in fizika. Fundamentals of electrical engineering, electronics and physics.

Vsebina:


• Uvod: optični spekter, koherenca, polarizacija, elektro-optični pojavi, absorpcija in sipanje v snovi, lom in uklon.

• Optična vlakna: a) vrste vlaken, b) geometrijski model optičnega vlakna, c) disperzija in vrste disperzno, d) prilagojenih vlaken, e) izgube v optičnih vlaknih, posebna

vlakna • Laserji:

a) optični resonatorji, b) interakcija svetlobe in snov, razpršitve c) optično ojačenje in presek, d) lasersko nihanje, pragovna

koncentracija zasičenje, izhodna moč, e) načini za črpanje in vrste laserjev f) Trdninski laserji (aktivni medij, optična

• Introduction: optical spectrum, coherence, polarization, electro optic effects, absorption and scattering, refraction and diffraction.

• Optical fibers: a) types of optical fibers, b) the geometrical model of optical fibers, c) dispersion and dispersion modified d) fibers, e) loss in optical fibers, specialty fibers.

• Lasers: a) optical resonators, b) Interaction of light and matter,

broadening c) optical gain and cross-section, d) laser oscillations, threshold, saturation

and output power; e) pump systems and laser types

aktivnost redkih zemelj in prehodnih kovin, vrste trdinskih laserjev)

g) Vlakenski laserji in ojačevalniki (posebni laserji majhnih močni, močnostni vlakenski laserji in komponente za njihov izdelavo, večstopenjski laserji, aktivni ioni )

h) Drugi optično črpani laserji i) Plinski laserji (HeNe, CO2, CO, Ar-ion,

Excimer) j) Polprevodniški laserji: optično sevanje

v polprevodnikih, ojačenje svetlobe v polprevodnikih, zgradba laserske diode, osnovne laserske strukture (PN-spoj, heterostruktura, pasovni laserji, MQW, DFB, LEC, VCSEL, laser s kvantno kaskado, močnostne LD), lastnosti laserskih diod.

k) Tehnologije tvorbe kratkih sunkov: Q-preklapljanje, rodovno uklepanje

• Optični detektorji (PN, PIN, APD, drugi detektorji).

• Osnove fotocelice in fotovoltatika (fizikalne osnove, izvedbe, lastnosti, sončni spekter in atmosferska absorpcija, uporaba).

f) Solid-state lasers (active medium, optical properties of rare earths and transition metals, types of solid state lasers)

g) Fiber lasers and amplifiers (specialty lasers with low power, high power fiber lasers and components for their manufacturing, multistage amplifiers)

h) Other optical pumped lasers i) Gas lasers (HeNe, CO2, CO, AR-ion,

Excimer) j) Semiconductor lasers: optical radiation

in semiconductors, light amplification in semiconductors, laser diode constriction, laser diode structures (Pn-junction, heterostructure, strip laser, MQW, DFB, LEC, VCSEL, quantum cascade lasers), laser diode properties.

k) Short pulse generation techniques: Q-switching, mode locking

• Optical detectors (PN, PIN, APD and other detectors).

• Basics of photovoltaic (physical background, basic designs, properties, solar spectrum and atmospheric absorption, applications).

Temeljni literatura in viri / Readings:

• D.Đonlagić, M. Završnik, D.Đonlagić: “Fotonika - uvodna poglavja”, Univerza v Mariboru, Fakulteta za elektrotehniko, računalništvo in informatiko, Maribor 1997.

• P.A. Bélanger: “Optical Fiber Theory”, World Scientific, Singapore, 1993. • J.W. Blaker, W.M. Rosenblum: “Optics - An Introduction for Students of Engineering”, Macmillan

Publishing Company, New York, 1993.



Osvojitev osnovnih znanj s področja optoelektronskih naprav in sistemov, njihovega delovanja, lastnosti in praktične rabe.

Acquisition of fundamental knowledge in the filed of opto-electronics devices and systems, their operation, properties and practical use.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben:

• razumeti sestavo in delovanje osnovnih optoelektronskih naprav in sistemov,

• razumeti zgradbo, delovanje in osnovne omejitev optičnih komunikacijskih sistemov,

• uporabiti preprostejše optoelektronske komponente,

• razumeti in izvesti preprostejše optoelektronske meritve.

Knowledge and Understanding: Upon conclusion of this lecture the student will be able to:

• understand design and operation of basic optoelectronics devices and systems,

• understand the design, operation and basic limitations of optical communication systems,

• use simple opto-electronics components, • understand and carry out basic

optoelectronics measurements.

Prenesljive/ključne spretnosti in drugi atributi:

• Spretnost komuniciranja: usten zagovor laboratorijskih vaj, pisno izražanje pri dokumentiranju laboratorijskih vaj.

• Reševanje problema: izbira standardnih optoelektronskih komponent in načrtovanje preprostejših optoelektronskih sistemov.

• Spretnost računanja: izračun osnovnih lastnosti enostavnejših optoelektronskih sistemov.

• Praktične veščine: opravljanje laboratorijskih vaj, opravljanje optoelektronskih meritev.

Transferable/Key Skills and other attributes:

• Communication skills: Oral defense of lab work, written expression in documenting of the lab work.

• Problem solving: selection of standard optoelectronic components and design of simpler optoelectronic systems.

• Computation skills: calculation of basic properties of simpler optoelectronics systems.

• Practical skills: performing lab work, performing optoelectronic measurements .







Assessment:


20% 50% 30%


Opomba: Testi se lahko nadomestijo s pisnim izpitom. Note: The tests may be replaced with a written axam. Reference nosilca / Lecturer's references: • PEVEC, Simon, ĐONLAGIĆ, Denis. Nanowire-based refractive index sensor on the tip of an optical

fiber. Applied physics letters, 2013, vol. 102, iss. 21, str. 213114-1-213114-4. • MATJAŠEC, Žiga, ČAMPELJ, Stanislav, ĐONLAGIĆ, Denis. All-optical, thermo-optical path length

modulation based on the vanadium-doped fibers. Optics express, 2013, vol. 21, no. 10, str. 11794-11807.

• NJEGOVEC, Matej, ĐONLAGIĆ, Denis. Rapid and broad wavelength sweeping of standard telecommunication distributed feedback laser diode. Optics letters, 2013, vol. 38, no. 11, str. 1999-2001.

• PEVEC, Simon, ĐONLAGIĆ, Denis. Miniature micro-wire based optical fiber-field access device. Optics express, Dec. 2012, vol. 20, no. 25, str. 27874-27887.

• PEVEC, Simon, CIBULA, Edvard, LENARDIČ, Borut, ĐONLAGIĆ, Denis. Micromachining of optical fibers using selective etching based on phosphorus pentoxide doping. IEEE photonics journal, 2011, vol. 3, no. 4, str. 627-632.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Pretvarjanje energije Course title: Energy Conversion




Semester Semester

Elektrotehnika 2. stopnja 1. zimski Electrical Engineering 2nd level 1. Autumn


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Gorazd Štumberger Jeziki / Languages:



Prerequisits:

Znanje osnov elektrotehnike ter znanje iz naravoslovnih predmetov (Fizika, Kemija in Biologija).

Knowledge of Introduction to electrical engineering and fundamentals of natural sciences (Physics, Chemistry and Biology).

Vsebina:


• Splošno o energiji. • Zaloge primarnih virov energije. • Pretvarjanja energije – teoretično ozadje. • Raba energije: časovni potek rabe energije,

tarife. • Metode napovedovanja rabe energije. • Hidroelektrarne, termoelektrarne, jedrske

elektrarne. • Sončne elektrarne. • Vetrne elektrarne. • Elektrokemijska tehnologija, gorivne celice. • Uporaba geotermalne energije. • Druge pretvorbe energij. • Učinkovita raba energije. • Energija in okolje.

• Introduction to energy. • Energy sources. • Energy conversion – theoretical background. • Energy usage: time duration curve, tariffs. • Forecasting of energy usage. • Hydropower plants, thermal power plants,

nuclear power plants. • Solar power plants. • Wind turbine power plants. • Batteries and fuel cells. • Geothermal energy usage. • Alternative energy conversions. • Rational energy use. • Energy and environment.

Temeljni literatura in viri / Readings: • J. Voršič: Gospodarjenje z energijo, Univerza v Mariboru, Tehniška fakulteta, Maribor, 1992. • A. Čebulj: Elektriško gospodarstvo, Univerza v Ljubljani, Fakulteta za elektrotehniko, Ljubljana 1969. • J. Voršič, A. Orgulan: Pretvarjanje v električno energijo, Univerza v Mariboru, Fakulteta za

elektrotehniko, računalništvo in informatiko, Maribor, 1996. • WEC: Survey of Energy sources, World Energy Council 2007, Rim, 2007. • D. Y. Goswami , F. Kreith , Energy Conversion, CRC Press, 2007.



Cilj tega predmeta je seznaniti študente z energetskimi viri, pretvarjanjem v električno energijo in koristno rabo v industriji.

The objective of this course is to make students familiar with energy sources, conversion into electric power and efficient use in industry.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati znanje in razumevanje o energijskih

zalogah, • analizirati pogostost rabe energije, • načrtovati pretvarjanje v električno energijo, • ovrednotiti primernost rabe drugačnih virov

energije.

Knowledge and understanding: On completion of this course the student will be able to • prove knowledge of Energy sources, • analyse the frequency of energy use, • planning of energy conversion into power, • evaluate adequacy of alternative sources use.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: ustno izražanje pri

predstavitvi laboratorijskih vaj, pisno izražanje pri pisnem izpitu.

• Uporaba informacijske tehnologije: uporaba programskih orodij za načrtovanje pretvarjanja v električno energijo.

Transferable/Key skills and other attributes: • Communications skills: manner of oral

expressing at lab. presentation, writing skills at exam.

• Use of information technology: use of applied calculation algorithms for planning of energy conversion into power.




• lectures, • tutorial, • lab. work, • homework assignments.



Assessment:

• opravljene domače naloge, • laboratorijske vaje, • test, • kolokvij.

25 25 25 25

• completed homework, • lab work, • test, • preliminary oral assessment.

Opomba: Test se lahko nadomesti s pisnim izpitom, kolokvij pa z ustnim izpitom. Note: The test may be replaced with a written exam and the preliminary oral assessment may be replaced with an oral exam. Reference nosilca / Lecturer's references: • ŠTUMBERGER, Gorazd, DEŽELAK, Klemen, KLOPČIČ, Beno, DOLINAR, Drago. The impact of the voltage

generation method on acoustic noise emissions caused by a welding transformer. IEEE transactions on magnetics, Apr. 2012, vol. 48, no. 4, str. 1669-1672.

• STOJAN, David, DREVENŠEK, Dušan, PLANTIĆ, Željko, GRČAR, Bojan, ŠTUMBERGER, Gorazd. Novel field-weakening control scheme for permanent-magnet synchronous machines based on voltage angle control. IEEE transactions on industry applications, 2012, vol. 48, no. 6, str. 2390-2401.

• ŠTUMBERGER, Gorazd, KLOPČIČ, Beno, DEŽELAK, Klemen, DOLINAR, Drago. Prevention of iron core saturation in multi-winding transformers for DC-DC converters. IEEE transactions on magnetics, Feb. 2010, vol. 46, no. 2, str. 582-585.

• MARČIČ, Tine, ŠTUMBERGER, Bojan, ŠTUMBERGER, Gorazd. Comparison of induction motor and line-start IPM synchronous motor performance in a variable-speed drive. IEEE transactions on industry applications, 2012, vol. 48, no. 6, str. 2341-2352.

• STOJAN, David, DREVENŠEK, Dušan, PLANTIĆ, Željko, GRČAR, Bojan, ŠTUMBERGER, Gorazd. Novel field-weakening control scheme for permanent-magnet synchronous machines based on voltage angle control. IEEE transactions on industry applications, 2012, vol. 48, no. 6, str. 2390-2401.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Teorija elektromagnetnega polja Course title: Electromagnetic Field Theory




Semester Semester

Elektrotehnika 2. stopnja 1. zimski Electrical Engineering 2nd level 1. Autumn


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Mladen Trlep Jeziki / Languages:



Prerequisits:

Osnovno znanje iz vektorske analize in diferencialnih enačb ter osnov elektrotehnike.

Basic knowledge of vector analysis and differential equations, and of introduction to electrical engineering.

Vsebina:


• Uvod: vektorska analiza, vrste in tipi polj ter pregled osnovnih enačb.

• Elektrostatično polje: v zraku, dielektriku in prevodniku, Coulombov zakon, Gaussov zakon, prestopni pogoji, električni skalarni potencial, Laplaceova in Poissonova enačba, kapacitivnost, sile in energija v elektrostatičnem polju.

• Tokovno polje: zakon o ohranitvi električnega naboja, tokovna gostota, ohmska upornost, Joulov zakon, prestopni pogoji za tokovno polje.

• Magnetostatično polje: v zraku, v linearnih in nelinearnih magnetnih materialih, Amperov zakon, Biot-Savartov zakon, polje trajnega

• Introduction: vector analysis, types of physical fields, review of basic equations.

• Electrostatic field: in a vacuum, in a dielectric and in a conducting bodies, Coulomb’s Law, Gauss’s Law, boundary conditions, electric scalar potential, Laplace's and Poisson's equation, capacitance, electric forces and energy.

• Current field: conservation of electric charge, current density, resistance, Joule’s Law, boundary conditions for current field.

• Magnetostatic field: in a vacuum, in a linear and in a non-linear magnetic materials, Ampere’s Law, Biot-Savart's law, field of permanent magnets, boundary condition, magnetic

magneta, prestopni pogoji, magnetni potencial, induktivnost, sile in energija v magnetostatičnem polju.

• Časovno spreminjajoče elektromagnetno polje, sistem Maxwellovih enačb, poljski tok, Faradayev zakon, prestopni pogoji, Poyntingov teorem, kvazistatično elektromagnetno polje, vrtinčni tokovi, kožni pojav.

• Ravninsko elektromagnetno valovanje: valovna enačba, širjenje, odboj in lom valovanje v idealnem in realnem mediju, linearna, krožna in eliptična polarizacija, antene, Hertzov dipol.

• Pregled analitičnih in numeričnih metod za izračun elektromagnetnega polja.

potential, inductance, magnetic forces and energy.

• Time-varying electromagnetic field: system of Maxwell's equations, displacement current, the Faraday's law, boundary conditions, the Poynting's theorem, quasi-static field,eddy current, skin effect.

• Plane-electromagnetic wave: wave equation, wave propagation, reflection and refraction in the ideal and real medium, linear, circular and elliptical polarization, antennas, Hertzian dipole.

• The review of analytical and numerical methods for the calculation of the electromagnetic field.

Temeljni literatura in viri / Readings: • M. Trlep: Teoretska elektrotehnika – zbrano gradivo, Univerza v Mariboru, Fakulteta za elektrotehniko,

računalništvo in informatiko, Maribor, 2014. • Sadiku, Matthew N: Elements of Electromagnetics, Oxford University Press, New York, 2010. • F. T. Ulaby: Electromagnetics for Engineers, Person Education, Upper Saddle River, New Jersey, 2005. • A. R. Sinigoj: ELMG, Založba FE, Ljubljana, 1996.



Cilj tega predmeta je dati študentu poglobljeno teoretično znanje o elektromagnetnem polju.

The objective of this course is to give students theoretical knowledge about electromagnetic field.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati znanje in razumevanje o statičnem in

časovno spreminjajočem elektromagnetnem polju,

• uporabiti osnovne teoretične pristope za razumevanje mehanizma elektromagnetnega polja,

• analizirati, primerjati in razporediti posamezne probleme elektromagnetnega polja,

• ovrednotiti kompleksen elektromagnetni problem in izbrati primerno metodo ali programska orodja za rešitev takšnega problema.

Knowledge and understanding: On completion of this course the student will be able to • demonstrate knowledge and understanding

about static end time-varying electromagnetic field,

• apply basic theoretical approaches for understanding a mechanism of electromagnetic field,

• analyse, compare and classify different electromagnetic field problems,

• evaluate the complex electromagnetic problem and select appropriate methods or software tools for the calculation of the problem.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: ustni zagovor izpita,

pisno izražanje pri pisnem izpitu. • Uporaba informacijske tehnologije: delna

uporaba matematičnih programskih orodij.

Transferable/Key skills and other attributes: • Communication skills: oral examination defence,

manner of expression at written examination. • Use of information technology: partial

application of the mathematical software tools.

• Spretnosti računanja: izvajanje zahtevnejših računskih operacij in ovrednotenje najrazličnejših matematičnih izrazov.

• Reševanje problemov: reševanje različnih elektromagnetnih problemov.

• Delo v skupini: skupinsko reševanje nekaterih zahtevnejših elektromagnetnih problemov.

• Calculation skills: performing great pretension calculating operations and evaluate different math expressions.

• Problem solving: solving different electromagnetic problems.

• Working in a group: group solving exacting electromagnetic problems.



• predavanja, • seminarske vaje, • reševanje domačih nalog.

• lectures, • tutorial, • homework assignments.



Assessment:

• opravljene domače naloge, • testi.

10 90

• completed homeworks, • tests.

Opomba: Testi se lahko nadomestijo s pisnim izpitom v deležu 40 % in ustnim izpitom v deležu 50 %. Note: Tests may be replaced by written exam in the proportional of 40 % and oral exam in the proportional of 50 %. Reference nosilca / Lecturer's references: • GABER, Matjaž, PIHLER, Jože, STEGNE, Marjan, TRLEP, Mladen. Flashover condition for a special three-

electrode spark gap design. IEEE transactions on power delivery, ISSN 0885-8977. [Print ed.], Jan. 2010, vol. 25, no. 1, str. 500-507.

• TRLEP, Mladen, JESENIK, Marko, HAMLER, Anton. Transient calculation of electromagnetic field for grounding system based on consideration of displacement current. IEEE transactions on magnetics, ISSN 0018-9464, Feb. 2012, vol. 48, no. 2, str. 207-210.

• JESENIK, Marko, GORIČAN, Viktor, TRLEP, Mladen. Characterisation of crack's dimensions using eddy current field measurement. Nondestructive testing and evaluation, ISSN 1058-9759. [Print ed.], 2013, vol. 28, iss. 2, str. 181-193.

• MOHAMAD NOR, N., TRLEP, Mladen, ABDULLAH, S., RAJAB, R., RAMAR, K. Determination of threshold electric field of practical earthing systems by FEM and experimental work. IEEE transactions on power delivery, ISSN 0885-8977. [Print ed.], Oct. 2013, vol. 28, no. 4, str. 2180-2184.

• NOR, N. Mohamad, TRLEP, Mladen, ABDULLAH, S., RAJAB, R. Investigations of earthing systems under steady-state and transients with FEM and experimental work. International journal of electrical power & energy systems, ISSN 0142-0615. [Print ed.], 2013, vol. 44, iss. 1, str. 758-763.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Kakovost, zanesljivost in preizkušanje Course title: Quality, Reliability and Testing




Semester Semester

Elektrotehnika 2. stopnja Avtomatika in robotika 2. zimski Electrical Engineering 2nd level Automation and robotics 2. Autumn


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Vojko Matko Jeziki / Languages:



Prerequisits:

Osnove elektrotehnike in meritev. Osnove fizike in osnove statistike.

Basic knowledge of electrical engineering and measurements. Basic knowledge of physics and basic knowledge of statistics.

Vsebina:


• Uvod: temeljni pojmi v preizkusni tehniki, standard, akreditiranje, skladnost, zakoni in tehniški predpisi.

• Kakovost izdelkov, storitev, poslovanja - zgodba o uspehu, celovito zagotavljanje kakovosti.

• Zanesljivost: elementov, vezij in električnih naprav, povečanje zanesljivosti, redundanca, razpoložljivost, določanje zanesljivosti sistemov, realizacija zanesljivih sistemov.

• Preizkušanje: elektronskih vezij, testiranje v proizvodnji.

• Elektromagnetna skladnost (EMC): pri elektronskih vezjih in pri izdelkih.

• Introduction: basic definitions related to testing, standard, accreditation, conformity, laws and technical regulations.

• Quality of products, services, operations – success story, total quality management.

• Reliabilityof: elements, circuitsand electrical devices, increasing reliability, redundancy, availability, systems reliability determining, reliable system design.

• Electronic circuits testing, production testing types. Electromagnetic compatibility (EMC): in electronic circuits, and in products.

• Development procedures (Reliability, Maintainability, Supportability): systems reliability prediction, software reliability

• Razvojni postopki (zanesljivost, vzdrževanje, podpora):, napovedovanje zanesljivosti sistemov, ocena zanesljivosti programske opreme, diagnostični postopki za odkrivanje napak.

assessment, diagnostic procedures for error detection.

Temeljni literatura in viri / Readings: • M. A. Levin and T. T. Kalal: Improving product reliability, John Wiley & Sons Inc, Chichester 2003 • D. Kececioglu: Reliability Engineering Handbook, vol. 2, DEStech Publications, Lancaster 2002 • G. S. Waserman: Reliability Verification, Testing, and Analysis in Engineering Design, Marcel Dekker,

New York 2003 • K. L. Kaiser: Electromagnetic Compatibility Handbook, CRC Press Boca, London 2005 Cilji in kompetence:


Cilj predmeta je seznaniti študente z osnovami preizkusne tehnike, z osnovami metod kontrole kakovosti, z načrtovanjem zanesljivih sistemov, s testiranji v proizvodnji, s simulacijskim preizkušanjem, z elektromagnetno skladnostjo in diagnostičnimi postopki za odkrivanje napak.

The objectives of this course is to acquaint students with the fundamentals of testing, fundamentals of quality control methods, how to design reliable systems, about testing in production, how to use simulation-based testing, about electromagnetic conformity and about diagnostic procedures for error detection.



Znanje in razumevanje: Po zaključku tega predmeta bo študent: • seznanjen s standardizacijo in akreditiranjem, • bo znal načrtovati zanesljivost izdelka, • seznanjen s celovitim zagotavljanjem kakovosti

izdelka, • uporabiti postopke testiranj v proizvodnji, • preizkusiti elektronska vezja, • upoštevati EMC – elektromagnetno skladnost

pri izdelkih, • napovedovati zanesljivost izdelka.

Knowledge and understanding: On completion of this course the student will be • familiar with standardization and accreditation, • able to design product reliability, • familiar with total product quality management, • able to use production testing procedures, • able to test electronic circuits, • able to take into account EMC –

Electromagnetic compatibility in products, • able to predict product reliability.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: zagovor


• Uporaba informacijske tehnologije pri testiranju.

• Spretnosti računanja: delati s simulatorjem Multisim.

• Reševanje problemov: uporabiti standardizacijo in akreditiranje, celovito zagotavljati kakovost izdelka, načrtovati zanesljivost izdelka, uporabiti postopek testiranja v proizvodnji, upoštevati elektromagnetno skladnost pri izdelkih,


manner of expression at written examination. • Use of information technology: perform testing. • Calculation skills: work with Multisim simulator. • Problem solving: how to use knowledge of

standardization and accreditation, total product quality management, to design product reliability assurance, production testing, electromagnetic conformity in products and, be able to test electronic circuits and assemblies.

• Working in a group: lab work.

preiskusiti elektronsko vezje in sestav. • Delo v skupini: laboratorijsko delo.







Assessment:

• testi, • laboratorijske vaje, • opravljeno seminarsko delo, • ustni izpit.

50 % 20 % 20 % 10 %

• tests, • lab work, • completed seminar work, • oral exam.

Opomba: Testi se lahko nadomestijo s pisnim izpitom. Note: The tests may be replaced with a written axam. Reference nosilca / Lecturer's references: • Matko. V. and Milanović M., “Temperature-Compensated Capacitance-Frequency Converter with High

Resolution”, Sens. Actuators A, 220, pp. 262-269, 2014 • Matko V. and Milanović M., “High Resolution Switching Mode Inductance-to-Frequency Converter

with Temperature Compensation”, Sensors, 2014, vol. 14, iss. 10, p. 19242-19259. • Matko, Vojko, Jezernik, Karel. New quartz oscillator switching method for nano-Henry range

inductance measurements. Sensors, 2012, vol. 12, iss. 13, p. 3105-3117. • Matko, Vojko. Next generation AT-cut quartz crystal sensing devices. Sensors, 2011, vol. 5, iss. 11, p.

4474-4482. • Matko, Vojko, Jezernik, Karel. Greatly improved small inductance measurement using quartz crystal

parasitic capacitance compensation. Sensors, 2010, vol. 4, iss. 10, p. 3954-3960.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Napredni regulacijski sistemi Course title: Advanced Control Systems



Letnik Academic

year

Semester Semester

Elektrotehnika 2. stopnja Avtomatika in robotika 1. ali 2. zimski/poletni

Electrical Engineering 2nd level Automation and Robotics 1. ali 2. Autumn/Spring Vrsta predmeta / Course type Univerzitetna koda predmeta / University course code:

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Rajko Svečko Jeziki / Languages:



Prerequisits:

Osnovna znanja iz teorije regulacij in sistemov vodenja.

Basic knowledge of control system theory.

Vsebina:


• Uvod: temeljni matematični modeli nelinearnih sistemov, lastnosti nelinearnih sistemov, tipični in netipični nelinearni elementi, osnovni razredi nelinearnosti.

• Metode linearizacije: sekantna, tangetna, algebrska, analitična, harmonična, statistična, določevanje koeficientov linearizacije po metodi najmanjših kvadratov, opisna funkcija, dualna opisna funkcija.

• Nihanja v nelinearnih sistemih: lastna nihanja, vsiljena nihanja, vpliv visokofrekvenčnega dihter signala.

• Fazna ravnina: določanje faznih trajektorij in portretov, metoda izoklin.

• Metoda opisne funkcije: analiza simetričnih in

• Introduction: fundamental mathematical models of non-linear systems, properties of non-linear systems, typical non-linear elements, basic non-linear classes.

• Linearization methods: secant, tangent, algebraic, analytical, harmonic, statistic, determination of linearization coefficients by last square method, describing function, dual describing function.

• Oscillations in non-linear systems: continuous oscillations forced continuous oscillations, influence of high frequency dither signals.

• Phase-plane: phase-plane trajectories, determination of phase-plane portraits, method of isoclines,

nesimetričnih lastnih nihanj, analiza in sinteza sistemov s simetričnimi in nesimetričnimi statičnimi karakteristikami, analitični kriterij stabilnosti lastnih nihanj, zanesljivost metode opisnih funkcij.

• Adaptivni sistemi: lastnosti adaptivnih sistemov, estimacija parametrov, samonastavljivi regulatorji, modelno referenčni adaptivni sistemi, prediktivni adaptivni sistemi.

• Describing function method: analysis of symmetrical and non-symmetrical continuous oscillations, analysis and synthesis of systems with symmetrical and non-symmetrical static characteristic, analytical criteria of continuous oscillations stability, reliability of describing function method.

• Adaptive systems: properties of adaptive systems, parameter estimation, self-tuning controllers, model-reference adaptive systems, predictive adaptive systems.

Temeljni literatura in viri / Readings: • L. Kuljača and others: Nelinearni sistemi avtomatskega vodenja, Univerza v Mariboru, Fakulteta za

elektrotehniko, računalništvo in informatiko, Maribor, 1998. • O. Föllinger: Nichtlineare Regelungen I, Oldenburg, Muenchen, 1993. • O. Föllinger: Nichtlineare Regelungen II, Oldenburg, Muenchen, 1993. • J. Fossard: Non-linear Systems, Chapman&Hall, London, 1997. • K.J. Astrom: Computer Controlled Systems, Prentice-Hall, New York 1990. • K.J. Astrom: Adaptive control, Addison-Wesley, New York 1995.



Študenti pridobijo znanje in veščine za analizo in načrtovanje nelinearnih, optimalnih in adaptivnih regulacijskih sistemov.

To give students knowledge and skills to analysis and design of nonlinear, optimal and adaptive control systems.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati znanje in razumevanje nelinearnih

sistemov, optimalnih sistemov in adaptivnih sistemov,

• analizirati, načrtovati in sestaviti regulacijski sistem večje kompleksnosti z uporabo sodobnih načrtovalskih metod,

• ovrednotiti uporabnost načrtovalskih metod in izbrati primerne tehnike ter orodja za načrtovanje regulacijskih sistemov.

Knowledge and understanding: On completion of this course the student will be able to • demonstrate knowledge and understanding of

non-linear systems, optimal systems and adaptive systems,

• analyse, design and implement control systems of larger complexity with use of contemporary design methods,

• evaluate the applicability of design methods and to choose appropriate techniques and tools for control systems design.


laboratorijskih vaj • in seminarja ter pisno izražanje pri pisnem

izpitu. • Uporaba informacijske tehnologije: uporaba

programskih orodij za načrtovanje regulacijskih sistemov.

Transferable/Key skills and other attributes: • Communication skills: oral lab work and seminar

defence, manner of expression at written examination.

• Use of information technology: use of control systems design software tools.

• Calculation skills: calculating of integrals, solution of differential equations, use of

• Spretnosti računanja: računanje integralov, reševanje diferencialnih enačb, uporaba kompleksne analize.

• Reševanje problemov: načrtovanje in izvedba zahtevnejših regulacijskih sistemov.

• Delo v skupini: izdelava seminarske naloge v skupini.

complex analysis. • Problem solving: designing and implementing of

more complex control systems. • Working in a group: making of seminar work in

team.



• predavanja, • seminarske vaje, • laboratorijske vaje, • seminar.

• lectures, • tutorial, • lab work, • seminar.



Assessment:

• testi, • opravljeno seminarsko delo, • ustni izpit.

40 % 20% 40 %

• tests, • completed seminar work, • oral exam.

Opomba: Testi se lahko nadomestijo s pisnim izpitom. Note: The tests may be replaced with a written axam. Reference nosilca / Lecturer's references: • SEMENIČ, Nikolaj, SARJAŠ, Andrej, CHOWDHURY, Amor, SVEČKO, Rajko. Optimal design of a delayed

feedback. Elektronika ir elektrotechnika, 2014, vol. 20, no. 8, str. 2-8. • SEMENIČ, Nikolaj, SARJAŠ, Andrej, CHOWDHURY, Amor, SVEČKO, Rajko. Quasipolynomial Approach to

simultaneous robust control of time-delay systems. Mathematical problems in engineering, 2014, vol. 2014, article ID 930697, 1-10 str.

• SVEČKO, Rajko, KUSIĆ, Dragan, KEK, Tomaž, SARJAŠ, Andrej, HANČIČ, Aleš, GRUM, Janez. Acoustic emission detection of macro-cracks on engraving tool steel inserts during the injection molding cycle using PZT sensors. Sensors, 2013, vol. 13, no. 5, str. 6365-6379.

• CHOWDHURY, Amor, SARJAŠ, Andrej, CAFUTA, Peter, SVEČKO, Rajko. Robust controller synthesis with consideration of performance criteria. Optimal control applications & methods, Nov.-Dec. 2011, vol. 32, iss. 6, str. 700-719.

• SVEČKO, Rajko, KOTNIK, Bojan, CHOWDHURY, Amor, MEZGEC, Zdenko. GSM speech coder indirect identification algorithm. Informatica, 2010, vol. 21, no. 4, str. 575-595.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Robotski sistemi Course title: Robotic Systems




Semester Semester

Elektrotehnika 2. stopnja Automatika in robotika 2. zimski Electrical Engineering 2nd level Automation and robotics 2. Autumn


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Aleš Hace Jeziki / Languages:



Prerequisits:

• Osnovna znanja matematike in fizike. • Osnovna znanja regulacij in robotike.

• Basic knowledge of mathematics and physics.

• Basic knowledge of control and robotics.

Vsebina:


• Uvod z osnovami mehanike za robotske sisteme (koordinatni sistemi, translacija in rotacija togega telesa, translacijski vektor in rotacijska matrika, hitrostna analiza, pospeškovna analiza, Newtonovi in Eulerjevi zakoni gibanja za toga telesa, vztrajnostni tenzor).

• Hitrostna kinematika robotskega mehanizma po Denavit-Hartenbergovi konvenciji, geometrijski in analitični Jakobijan.

• Izpeljava dinamičnega modela pasivnega robotskega mehanizma z uporabo i) Lagrangeanovega postopka in ii) Newton-Eulerjevega postopka.

• Model robotskih pogonov (aktivatorji s

• Introduction with basics of mechanics for robotic systems (coordinate systems, translation and rotation of a rigid body, translation vector and rotation matrix, velocity analysis, acceleration analysis, Newton and Euler loaws of motion for rigid bodies, inertia tensor).

• Velocity kinematics of a robot mechanism via Denavit-Hartenberg convention, geometric and analytic Jacobian.

• Derivation of a dynamic model of the passive robot mechanism by i) Lagrange approach, and ii) Newton-Euler approach.

• Models of robot drives (actuators with transmission elements), control of a DC servo motor.

prenosnimi elementi), vodenje DC servo motorja.

• Dinamični model aktivnega robotskega mehanizma, za direktno gnane mehanizme in mehanizme s prenosnimi elementi, analiza vpliva prestavnega razmerja.

• Dinamični model robota v različnih koordinatnih sistemih.

• Dinamični model robota v stiku z okolico. • Sheme položajnega vodenja v robotiki v

notranjih in zunanjih koordinatah: decentralno vodenje s kaskadno reg. shemo, PD in PID reg. shemo, vodenje z opazovalnikom motenj, centralno vodenje s PD regulacijo in kompenzacijo gravitacije, z metodo inverzne dinamike in izračunanega navora, robustno vodenje v drsnem režimu.

• Vodenje robota v stiku z okolico: podajno vodenje, impedančno vodenje in hibridno vodenje po položaju/sili.

• Primeri robotskih sistemov.

• Dynamic model of the active robot mechanism, for direct drive mechanisms and mechanisms with transmission elements, analysis of coupling.

• Robot dynamic model in different coordinate systems.

• Robot dynamic model in contact with the environment.

• Robot position control schemes in joint and task space: decentralized cascaded control, PD and PID control, control with disturbance observer, centralized PD control with gravity compensation, inverse dynamics, and computed torque control, robust control by sliding modes.

• Robot control in contact with the environment: compliance control, impedance control and hybrid position/force control.

• Case studies of different robotic systems.

Temeljni literatura in viri / Readings: • L. Sciavicco, B. Siciliano: “Modelling and Control of Robot Manipulators”, Springer Verlag, London

2000. • J. Lenarčič, T. Bajd: Robotski mehanizmi, FE Ljubljana 2003. • J.J. Craig: “Introduction to Robotics – Mechanics and Control”, Third edition, Pearson Education, 2005. • M. W. Spong, S. Hutchinson, M. Vidyasagar: “Robot modeling and control”, Wiley, 2006.



Cilj tega predmeta je naučiti študente osnovnih principov dinamike robotov, vodenja robotov in načrtovanja robotskih sistemov.

The objective of this course is to learn the students the basic principles of the robot dynamics, robot control and design of robot systems.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • Izkazati znanje in razumevanje dinamike

robotskih mehanizmov. • Modelirati dinamiko robotov. • Načrtovati in uporabiti metode vodenja

robotov. • Ovrednotiti shemo vodenja.

Knowledge and understanding: On completion of this course the student will be able to • Demonstrate knowledge and understanding of

the robot dynamics. • Modelling of robot dynamics. • Design and apply robot control methods. • Evaluate robot control scheme.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: pisno izražanje pri

pisanju poročila o vajah, ustno izražanje pri ustnem zagovoru laboratorijskih vaj.

Transferable/Key skills and other attributes: • Communication skills: written expression with

writing reports, oral expressions with oral examination of laboratory exercises.

• Uporaba informacijske tehnologije: iskanje informacij na svetovnem spletu, uporabe programskih orodij za hitro načrtovanje vodenja v robotiki in za simulacijo robotskih mehanizmov.

• Spretnosti računanja: vaje. • Reševanje problemov: vaje. • Delo v skupini: delo v skupini pri laboratorijskih

vajah.

• Use of information technology: searching specific information on the web, using rapid control prototyping software tools for robot control, and tools for robot dynamics simulation.

• Calculation skills: exercises. • Problem solving: exercises. • Working in a group: work in groups during lab

work. Metode poučevanja in učenja:






Assessment:

• testi, • laboratorijske vaje, • ustni izpit.

50 % 40 % 10 %

• test, • lab work, • oral exam.

Opomba: Testi se lahko nadomestijo s pisnim izpitom. Note: The tests may be replaced with written exam. Reference nosilca / Lecturer's references: • HACE, Aleš, FRANC, Marko. Pseudo-sensorless high-performance bilateral teleoperation by sliding-

mode control and FPGA. IEEE/ASME transactions on mechatronics, Feb. 2014, vol. 19, no. 1, str. 384-393.

• HACE, Aleš, FRANC, Marko. FPGA implementation of sliding mode control algorithm for scaled bilateral teleoperation. IEEE transactions on industrial informatics, Avg. 2013, vol. 9, iss. 3, str. 1291-1300.

• NATORI, Kenji, TSUJI, Toshiaki, OHNISHI, Kouhei, HACE, Aleš, JEZERNIK, Karel. TimeDelay compensation by communication disturbance observer for bilateral teleoperation under timevarying Delay. IEEE transactions on industrial electronics,], Mar. 2010, vol. 57, no. 3, str. 1050-1062.

• HACE, Aleš, FRANC, Marko. FPGA-based haptic teleoperation. V: PISLA, Doina (ur.). New trends in medical and service robots : theory and integrated applications, (Mechanism and machine science, Vol. 16). Springer Verlag, cop. 2014, str. 145-159.

• HACE, Aleš, FRANC, Marko. Towards sensorless haptic teleoperation. V: RODIĆ,. New trends in medical and service robots : theory and integrated applications, (Mechanism and machine science, Vol. 20). Springer Verlag, cop. 2014; Heidelberg ... [et al.], str. 243-256.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Snovanje sistemov vodenja Course title: Control Systems Design




Semester Semester

Elektrotehnika 2. stopnja Avtomatika in robotika 1. poletni Electrical Engineering 2nd level Automation and Robotics 1. Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Nenad Muškinja Jeziki / Languages:



Prerequisits:

Osnovno znanje modeliranja procesov, gradnikov sistemov vodenja, komunikacij v avtomatiki, regulacij, programiranja, signalov.

Basic knowledge of modelling, control system components, communication in automation, control, programming, signals.

Vsebina:


• Uvod: zgodovinski pregled, definicije, naloga snovanja v sistemih vodenja.

• Konceptualni in metodološki okviri. • Sistemski pristop k avtomatizaciji: teorija

vodenja procesov in sistemov, tehnologija vodenja sistemov, vloga in pomen tehnologije vodenja, problemi pri realizaciji sodobnih sistemov za vodenje. CIM model.

• PLC struktura: instalacija, programiranje. Delovanje PLC-jev, arhitektura, konfiguracije, priklop. I/O moduli. Lestvični diagram in programiranje. Primeri: zagon motorja, reaktorska posoda.

• SCADA sistemi: vrste, uporaba, namen cilji, naloge scada sistema, natančna obravnava scada sistemov, integracija SCADA sistemov,

• Introduction: overview, definitions, the role of control systems design in automation.

• Concepts and methodologies. • Systematic approach in automation: theory of

process control, technologies, the role and importance of control design, application problems, CIM model.

• PLC structure: installation, wiring, programming. Operation of PLC, architecture, configuration. I/O modules. Ladder diagrams and programming. Examples: motor run-up, reactor plant.

• SCADA systems: types, the role, purposes and goals of a SCADA system, detailed view of SCADA systems, implementation of SCADA systems, interfaces and communication. OPC

vmesniki in povezave. OPC vmesnik. • Spremljanje procesa, alarmi in kronologija

alarmov. • Prepoznavanje napak in njihova diagnostika v

sistemih vodenja. • Kaj je MES: Povezava scada in MES, vloga MES,

uporaba računalniških programov pri vodenju proizvodnje, vloga MES pri planiranju, vzdrževanju in proizvodnji, vodenje projekta preko portala.

• Vodenje projekta avtomatizacije. • Življenjski ciklus projekta: funkcije in

odgovornost, funkcionalne specifikacije, značilni dokumenti.

• Načrtovanje sistema vodenja z upoštevanjem do sedaj obravnavanih tem.

• Izdelava projekta po predloženih specifikacijah.

interface. • Process monitoring, alarms and process history. • Fault detection and diagnostics in SCADA

systems. • About MES systems: Connection SCADA – MES,

the role of MES, the use of computers in production control, using MES for planning, production, maintenance. Remote monitoring.

• Management of automation projects. • Life cycle of projects: functions and

responsibility, specifications, important documents.

• Planning of SCADA system with gained knowledge.

• Preparation of project by given specifications.

Temeljni literatura in viri / Readings: • J. Usher, U.Roy, H. Parsaei: Integrated product and process development, John Wiley 1998 • K. Fruh: Handbuch der Processautomatisierun, Oldenbourg, Munchen 1997 • J. Korbicz, J. Koscielny, Z. Kowalczuk, W. Cholewa: Fault diagnosis, Springer, New York 2004 • M. McClellan: Collaborative Manufacturing. St. Lucie Press, New York 2003 • M. McClellan: Applying Manufacturing Execution Systems. St. Lucie Press, Boca Raton 1997 • S. Strmčnik, Đ. Juričić: Case Studies in Control. Putting Theory to Work, Springer-Verlag, London 2013



Cilj predmeta je dati znanje iz načrtovanja in izvedbe računalniškega vodenja industrijskega procesa.

The objective of this course is to acquaint students with the basic programming, planning and implementation of computer control to industrial processes.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • celovitega pristopa k reševanju problema

načrtovanja in izvedbe računalniško vodenega procesa,

• uporabljati najsodobnejšo opremo za vodenje procesov,

• izdelati projekt računalniško vodenega in nadzorovanega procesa.

Knowledge and understanding: On completion of this course the student will be able to: • solve the design and implementation problems

in computer control processes, • use modern hardware and software for process

control, • elaborate project of supervisory control and

data acquisition systems.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: pisanje strokovnega

poročila o opravljenih vajah, projektu, ustni zagovor laboratorijskih vaj, projekta.

• Uporaba informacijske tehnologije:uporaba

Transferable/Key skills and other attributes: • Communication skills: written technical report

of lab work, project, oral lab work/ project defence.

• Use of information technology: the use of

najsodobnejših programskih orodij. • Organizacijske spretnosti: priprava projekta po

principu življenjskega cikla. • Spretnosti računanja: reševanje računskih

nalog pri vajah, • Reševanje problemov: izdelava projekta

avtomatizacije procesa. • Delo v skupini: pri laboratorijskih vajah,

projektu in diplomskem delu.

modern programming tools. • Organisation skills: Organisation and

preparation of projects by principles of life cycle.

• Calculation skills: performing basic calculating operations at lab work.

• Problem solving: preparation of project for process automation.

• Working in a group: at lab work, seminar work, diploma work.







Assessment:


40 % 50 % 10 %

• lab work, • testi, • oral exam.

Opomba: Testi se lahko nadomestijo s pisnim izpitom. Note: The tests may be replaced with a written axam. Reference nosilca / Lecturer's references: • RIŽNAR, Matej, VALENKO, Darko, GOLOB, Marjan, MUŠKINJA, Nenad. Optimized diving velocity and

depth control for diverʼs automatic buoyancy control device. Marine Technology Society journalJan./Feb. 2015, vol. 49, no. 1, str. 124-130.

• MUŠKINJA, Nenad, RIŽNAR, Matej. Optimized PID position control of a nonlinear system based on correlating the velocity with position error. Mathematical problems in engineering, [Print ed.], 2015, vol. 2015, 1-11 str.

• BRATINA, Božidar, MUŠKINJA, Nenad, TOVORNIK, Boris. Design of an auto-associative neural network by using design of experiments approach. Neural computing & applications, Mar. 2010, vol. 19, no. 2, str. 207-218.

• MUŠKINJA, Nenad, RIŽNAR, Matej, TOVORNIK, Boris, BOLF, Nenad, MOHLER, Ivan. Remote lab for process control education using OPC and web based technology. V: Remote & virtual labs : exp.at'11, 1st Experiment@ International Conference, 17-18 Nov. 2011, Lisbon, Portugal. [S. l.: s. n., 2011, str. 1-5.

• MUŠKINJA, Nenad, BRATINA, Božidar, TOVORNIK, Boris. Modelling and fuzzy control of biomass steam boiler system. EUROSIM 2010 : proceedings of the 7th EUROSIM Congress on Modelling and Simulation, September 6-10, 2010, Prague, Czech Republic. Vol. 2, Prague: Czech Technical University in Prague, 2010, 6 str.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Strojni vid Course title: Machine Vision




Semester Semester

Elektrotehnika 2. stopnja Avtomatika in robotika 1. ali 2. zimski/ poletni

Electrical Engineering 2nd level Automation and Robotics 1. ali 2. Autumn/ Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



30 30 120 6 Nosilec predmeta / Lecturer: Dušan Gleich Jeziki / Languages:



Prerequisits:

Osnove teorije signalov in poznavanje osnov programiranja.

Basics of signals theory and basics of computer programming.

Vsebina:


• Sistemi za računalniško oziroma strojno zajemanje in obdelavo slik.

• Barvni sistemi, človekov vid (HVS). • Osnove in algoritmi digitalne obdelave slik:

algoritmi izboljšave slik, detekcija robov in mejnih področij, skeletizacija, opis linij in oblik, združevanje in razdruževanje regij, morfološke transformacije in linearne transformacije.

• Osnove in algoritmi razpoznavanja vzorcev in slik: iskanje značilk, ocenitev parametrov, nadzorovano in nenadzorovano učenje.

• Analiza scene: razpoznavanje tarč in oblik v časovnem in frekvenčnem področju, opisne lastnosti slik.

• Nevronske mreže in mehka logika pri razpoznavanju vzorcev.

• Uporaba strojnega vida: kontrola kakovosti,

• Computer and machine image capturing and processing systems.

• Colour systems, human vision system (HVS). • Digital image processing fundamentals and

algorithms (image enhancement, edge and boundary detection, skeletonization, merging and splitting regions, morphological operations and linear transformations).

• Pattern and images recognition fundamentals and algorithms (future extraction, parameters estimations, supervision and non-supervision learning).

• Scene analysis (target and shape recognition in time and frequency domain, image futures and descriptions).

• Neural networks and fuzzy logic in pattern recognition.

vodenje robotov, vodenje vozil, nadzorni sistemi v prometu, merjenje razdalj, stereo vid, določanje orientacije.

• Razpoznava objektov, obrazov in izločevanje informacij.

• Moderne optimizacijske metode za rekonstrukcijo slik.

• Obdelava radarskih podatkov: radar z umetno odprtino in georadar.

• Machine vision applications: quality control, vision controlled robots, vision navigated autonomous vehicles, traffic control, distance measurements, stereo vision, orientation estimation.

• Object detection and recognition, face recognition, data mining.

• Processing of radar data: synthetic aperture radar and georadar data.

Temeljni literatura in viri / Readings: • N. Pavešič: Razpoznavanje vzorcev, uvod v analizo in razumevanje vidnih in slušnih signalov, 2.

razširjena izdaja, Fakulteta za elektrotehniko, Ljubljana, 2000. • Forsyth, D.A. and Ponce, J., Computer Vision: A Modern Approach, 2nd edition 2011. • P. Azad, T. Gockel, R. Dillman, Computer Vision: Principles and Practice, Elektor, 2008. • Richard Szeliski, Computer Vision: Algorithms and Applications. Springer-Verlag, 2010.



Cilj tega predmeta je naučiti študente osnove računalniškega oz. strojnega vida, osvojitev osnovnih veščin z razvojnimi orodji za izvedbo določenih aplikacij.

The objective of this course is to teach students the fundamentals of computer and machine vision and to give students practical skills with development tools for realization of particular applications.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • razumeti in načrtovati ter postavitt sisteme

strojnega vida, • razpoznavati vzorce s pomočjo osnovnih

algoritmov, • analizirati sceno v slikah, • uporabiti strojni vid v praktičnih aplikacijah.

Knowledge and understanding: On completion of this course the student will be able to • understanding of development, design and

realization of computer vision systems, • pattern recognition using basics algorithms, • scene analysis, • to use machine vision in practical applications.



• Uporaba informacijske tehnologije: uporaba programskih orodij za načrtovanje strojnega vida.

• Spretnosti računanja: izvajanje osnovnih računskih operacij pri algoritmih strojnega vida.

• Reševanje problemov: načrtovanje in izvedba preprostih sistemov strojnega vida.


manner of expression at written examination. • Use of information technology: use of

computer vision software tools. • Calculation skills: performing calculation

operations in computer vision systems. • Problem solving: designing and implementing of

simple machine vision systems.



• predavanja, • seminarske vaje, • projektno zasnovane laboratorijske vaje.

• lectures, • tutorial, • project based lab work.



Assessment:


40 % 50 % 10 %

• level work, • tests, • oral examination.

Opomba: Testi se lahko nadomestijo s pisnim izpitom. Note: The tests may be replaced with a written axam. Reference nosilca / Lecturer's references: • GLEICH, Dušan, SINGH, Jagmal, PLANINŠIČ, Peter. Parametric and nonparametric methods for SAR

patch scene categorization. IEEE journal of selected topics in applied earth observations and remote sensing, 15. oktober 2014, vol. , no. , str. 1-12.

• GLEICH, Dušan, KSENEMAN, Matej, DATCU, Mihai. Despeckling of terraSAR-X data using second-generation wavelets. IEEE geoscience and remote sensing letters, jan. 2010, vol. 7, no. 1, str. 68-72.

• PLANINŠIČ, Peter, SINGH, Jagmal, GLEICH, Dušan. SAR image categorization using parametric and nonparametric approaches within a dual tree CWT. IEEE geoscience and remote sensing letters, Oct. 2014, vol. 11, no. 10, str. 1757-1761.

• GLEICH, Dušan. Detection of wet zones within a hydro-power plant's canal using SAR and GPR data. IEEE journal of selected topics in applied earth observations and remote sensing, Avg. 2013, vol. 6, no. 4, str. 1864-1878.

• GLEICH, Dušan, DATCU, Mihai. Despeckling and information extraction from SLC SAR images. IEEE transactions on geoscience and remote sensing, Avg. 2014, vol. 52, no. 8, str. 4633-4649.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Vgrajeni sistemi Course title: Embedded Systems




Semester Semester

Elektrotehnika 2. stopnja Avtomatika in robotika 2. zimski

Electrical Engineering 2nd level Automation and Robotics 2. Autumn


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Matjaž Colnarič Jeziki / Languages:



Prerequisits:

Znanje iz osnov računalniške in komunikacijske tehnologije ter programiranja. Poznavanje osnov mikroračunalnikov in izkušnje pri delu z njimi.

Basics of computer and communication technologies and programming. Basic knowledge of microprocessors and skills in working with them.

Vsebina:


• Osnovni koncepti vgrajenih sistemov: čas v vgrajenih računalniških sistemih, specifične lastnosti: pravočasnost, napovedljivost, zanesljivost, omejena sredstva, vrste sistemov v realnem času, specifična področja uporabe.

• Arhitektura ARM Cortex procesorjev. • Opravila: življenjski cikel, večopravilnost,

sinhronizacija med opravili v vgrajenih aplikacijah.

• Razvrščanje opravil v realnem času, analiza razvrstljivosti.

• Specifične značilnosti aparaturne opreme in komunikacij v vgrajenih sistemih. Smernice za izbiro, primeri.

• Programiranje, programski jeziki za razvoj vgrajenih aplikacij, analiza časovnih zahtev in

• Basic concepts of embedded systems: time in embedded computer systems, specific properties: timeliness, predictability, dependability, limited resources, types of real-time systems, specific application domains.

• Architecture of ARM Cortex processors • Tasks: life cycle, multitasking, synchronisation

between tasks in real-time applications. • Scheduling of real-time tasks, schedulability

analysis. • Specific characteristics of hardware and

communications for embedded systems. Selection guidelines, examples.

• Programming, programming languages for development of embedded applications, analysis of temporal requirements and

zmogljivosti (WCET analiza). • Operacijski sistemi za vgrajene aplikacije. • Zanesljivost in ravnanje ob napakah: smernice

in standardi za zagotavljanje zanesljivosti in varnosti računalniških sistemov, odpornost na napake. Rešitve, primeri.

• Vaje: praktični primeri snovanja vgrajenih aplikacij.

performance (WCET analysis). • Operating systems for embedded applications. • Safety and fault management: guidelines and

standards for dependability and safety of computer systems, fault tolerance. Solutions, examples.

• Practical work: experiments in design of embedded applications.

Temeljni literatura in viri / Readings: • M. Colnarič, D. Verber, W. A. Halang: Distributed Embedded Control Systems: Improving Dependability

with Coherent Design, Springer Verlag, London, 2008. • P. Marwedel: Embedded System Design, Embedded Systems Foundations of Cyber-Physical Systems, 2nd Edition Springer,

2011 • A. Burns, A. Wellings: Real-Time Systems and Programming Languages, Addison Wesley, Boston MA,

Fourth edition, 2009 • Edward Lee, Sanjit A. Seshia, Introduction to Embedded Systems - A Cyber-Physical Systems Approach.

University of Berkeley, http://LeeSeshia.org, 2011. • Joseph Yiu, The Definitve Guide to ARM CORTEX-M3 and Cortex-M4 Processors, Third Edition, Elsevier, 2014



Celovito seznaniti študente s temeljnimi načeli vgrajenih sistemov in jih usposobiti, da bodo znali po njih zasnovati in zgraditi preprostejši laboratorijski prototip.

In the holistic manner convey to students the basic principles of embedded systems and qualify them to design and build a simple laboratory prototype according to these principles.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • razumeti način delovanja sistemov v realnem

času (principi, opravila, večopravilnost, sinhronizacija, razvrščanja),

• izvesti analizo razvrstljivosti za nabor opravil, • izbrati ustrezne aparaturne platforme in

programska ter razvojna orodja, • zgraditi preprostejši vgrajeni sistem.

Knowledge and understanding: On completion of this course the student will be able to • understand operation of computer systems in

real-time (principles, tasks, multitasking, synchronisation, scheduling policies),

• do schedulability analysis for a task set, • select proper hardware platforms, and

programming and development tools, • design a simple embedded system.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: predstavitev

seminarja. • Uporaba informacijske tehnologije: razvoj

projekta. • Organizacijske spretnosti: priprava projekta. • Reševanje problemov: izvedba projekta. • Delo v skupini: sodelovanje v skupinskih

projektih.

Transferable/Key skills and other attributes: • Communication skills: seminar presentation. • Use of information technology: project work. • Organisation skills: preparations for the project. • Problem solving: implementation of the project. • Working in a group: collaboration in joint

projects.



• predavanja, • laboratorijske vaje.

• lectures, • lab work.



Assessment:

• opravljene praktične laboratorijske vaje,

• vmesni pisni izpiti.

50 % 50 %

• completed practical laboratory work, • midterm exams.

Opomba: Vmesni pisni izpiti se lahko nadomestijo s pisnim izpitom v deležu 50 %.. Note: Midterm written exams may be replaced by a written exam in the weight of 50%. Reference nosilca / Lecturer's references: COLNARIČ, Matjaž, VERBER, Domen, HALANG, Wolfgang A.. Distributed embedded control systems : improving dependability with coherent design, (Advances in industrial control). Hagen: Springer, cop. 2010. XVII, 250 str. VERBER, Domen, COLNARIČ, Matjaž. Operating system Kernel coprocessor for embedded applications. New trends in technologies: devices, computer, communication and industrial systems. Rijeka: Sciyo, cop. 2010, str. [135]-144. COLNARIČ, Matjaž. Struggle for temporal predictability of processors for real-time environments, revisited 20 years after. Autonomous systems : developments and trends, (Studies in computational intelligence, ISSN 1860-949X, Vol. 391). Berlin; Heidelberg: Springer, cop. 2011, str. 3-12. COLNARIČ, Matjaž. An example of fault detection and reconfiguration-based tolerance in distributed embedded control systems. V: Special International Conference on Complex systems: synergy of control communications and computing, September 16-20, 2011, Ohrid, Republic of Macedonia. Proceedings of COSY 2011 papers : in honour of professor Georgi M. Dimirovski. Skopje: Society for Electronics, Telecommunications, Automation, and Informatics of the Republic of Macedonia, 2011, str. 281-286. RUANO, António E., COLNARIČ, Matjaž, et al. Computational intelligence in control. Annual Reviews in Control, ISSN 1367-5788. [Print ed.], Available online 7 October 2014, vol. , iss. , str. 1-10.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Programsko inženirstvo za sisteme vodenja Course title: Software Engineering for Control Systems




Semester Semester

Elektrotehnika 2. stopnja Avtomatika in robotika 1. ali 2. zimski/ poletni

Electrical Engineering 2nd level Automation and robotics 1. ali 2. Autumn/ Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



30 30 120 6 Nosilec predmeta / Lecturer: Miran Rodič Jeziki / Languages:



Prerequisits:

Osnove programiranja v C/C++ jeziku, Osnove mikrokrmilnikov, Osnove vgrajenih sistemov.

Basics in programming in C/C++ language, microcontrollers and embedded systems.

Vsebina:


• Uvod: osnovne definicije programskega inženirstva, kvaliteta programske opreme, funkcionalna zanesljivost,

• Standardi in pravila za programsko opremo (ISO 26262, ISO 61508, Misra C),

• Življenjski cikel programske opreme za sisteme vodenja,

• Metodologije specifikacije, analize in načrtovanja programske opreme,

• Tehnike in pripomočki za snovanje, načrtovanje in izdelavo programske opreme,

• Računalniško podprta orodja načrtovanja programske opreme,

• Integrirana razvojna okolja za pisanje in razhroščevanje programske opreme,

• Introduction: basic definitions of software engineering, software quality, functional safety,

• Software standards and rules (ISO 26262, ISO 61508, Misra C),

• Life-cycle of software in control systems, • Methodologies of of specification, analysis and

software design, • Techniques and utilities for software planning,

design, and implementation, • Computer aided software design tools, • Integrated development environment for

software development and debugging, • Software testing, • Rapid control prototyping, Hardware-in-the-

• Testiranje programske opreme, • Hitro načrtovanje gradnja prototipov,

Hardware-in-the-loop in Software-in-the-loop koncepti,

• Uporaba Matlab/Simulinka v procesu hitrega načrtovanja vodenja (uporaba Matlab/Simulinka in ostalih orodij).

loop in Software-in-the-loop concepts, • Model-based approaches in rapid control

prototyping (use of Matlab/Simulink and other tools).

Temeljni literatura in viri / Readings: • D. Abbot: Linux for Embedded and Real-Time Applications, Newness, Oxford 2006. • B.P. Douglass: Doing Hard Time, Addison-Wesley, Reading 2004. • J. Cooling: Software Engineering for Real-Time Systems, Addison Wesley, Boston MA 2002. • J. P. Calvez: Embedded Real-Time Systems - A Specification and Design Methodology, John

Willey&Sons, Chichester 1993. • Model-Based Testing for Embedded Systems, Edited by Justyna Zander, Ina Schieferdecker, and Pieter

J. Mosterman, CRC Press, Taylor & Francis Group, LLC, 2012. • D.D. Gajski, S. Abdi, A. Gerstlauer, G. Schirner, Embedded System Design, Modeling, Synthesis and

Verification, Springer Science+Business Media, LLC 2009. • Automotive Embedded Systems Handbook, Edited by Nicolas Navet and Françoise Simonot-Lion, CRC

Press, Taylor & Francis Group, LLC, 2009. Cilji in kompetence:


Cilj tega predmeta je razumeti osnovne principe sistematskega pristopa k razvoju programske opreme za sisteme vodenja.

The objective of this course is to understand basic principles of the systematic approach to software development for control systems.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben; • izkazati znanje in razumevanje razvoja

programske opreme za sisteme vodenja, • postopoma analizirati in snovati programsko

opremo, • ovrednotiti in izbrati ustrezne pristope pri

načrtovanju programske opreme, • zasnovati preprost primer sistema.

Knowledge and understanding: On completion of this course the student will be able to; • demonstrate knowledge and understanding of

software development for control systems, • step-by-step analysis and design of software

packages, • evaluate and select proper software design

methods, • design a simple system.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: ustno izražanje pri

predstavitvi seminarja, ustnem izpitu in zagovoru protokolov.

• Uporaba informacijske tehnologije: razvoj projektov.

• Organizacijske spretnosti: priprava projektov programskih paketov.

• Reševanje problemov: specifikacija,

Transferable/Key skills and other attributes: • Communication skills: oral expression at

seminar presentation, oral examination and lab work defence.

• Use of information technology: software project development.

• Organisation skills: software project preparation.

• Problem solving: specification, design and

načrtovanje in izvedba projekta programske opreme.

• Delo v skupini: delo v skupini pri vajah.

implementation of software packages. • Working in a group: collaboration at computer

lab and seminar work. Metode poučevanja in učenja:






Assessment:

• testi, • laboratorijske vaje, • ustni izpit.

50 30 20

• tests, • laboratory work, • oral exam.

Opomba: Testi se lahko nadomestijo s pisnim izpitom. Note: The tests may be replaced with written exam. Reference nosilca / Lecturer's references: • RODIČ, Miran. Modeling of DC-link connected multiple-converter system operating as microgrid.

Automatika, 2014, vol. 55, no. 4, str. 446-454. • KOROŠEC, Lucijan, KONJEDIC, Tine, TRUNTIČ, Mitja, RODIČ, Miran, MILANOVIČ, Miro. PDM flyback PV

microinverter with HFAC-link and active decoupling circuit. Electronics letters, Mar. 2015, vol. 51, no. 6, str. 516-517.

• JEZERNIK, Karel, RODIČ, Miran. High precision motion control of servo drives. IEEE transactions on industrial electronics, Oct. 2009, vol. 56, no. 10, str. 3810-3816.

• RODIČ, Miran, KORELIČ, Jože, LAHAJNAR, Franci, RUPAR, Uroš, MOČNIK, Ciril. Štirikvadrantni pogonski sistem za TFM motorje moči 50 kW = 50 kW four-quadrant TFM drive system. Zbornik osme konference AIG'13 Avtomatizacija v industriji in gospodarstvu, 4. in 5. april 2013, Maribor, Slovenija. Maribor: Društvo avtomatikov Slovenije, 2013, str. [1-8], ilustr.

• SUTNAR, Zdeněk, PEROUTKA, Zdeněk, RODIČ, Miran. Comparison of sliding mode observer and extended Kalman filter for sensorless DTC-controlled induction motor drive. V: 14th International Power Electronics and Motion Control Conference, 6-8 September, 2010, Ohrid, Macedonia. EPE-PEMC 2010. [Piscataway]: IEEE, cop. 2010, 8 str.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Antene in razširjanje valov Course title: Antennas and Wave Propagation




Semester Semester

Elektrotehnika 2. stopnja Elektronika 1. ali 2. zimski/poletni Electrical Engineering 2nd level Electronics 1. ali 2. Autumn/Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



30 30 120 6 Nosilec predmeta / Lecturer: Boštjan Vlaovič Jeziki / Languages:



Prerequisits:

Znanje matematike, fizike in osnov elektrotehnike. Knowledge of mathematics, physics and basic of electrical engineering.

Vsebina:


• Temeljni zakoni elektromagnetnega valovanja. • Teoremi elektromagnetnega polja. • Elektromagnetno valovanje v prostoru. • Sevanje. • Porazdelitev toka v linearni anteni. • Impedanca. • Recipročnost med oddajanjem in

sprejemanjem. • Analiza in sinteza polariziranega vala. • Vpliv površine zemlje. • Linije, dipoli. • Antene: frekvenčno odvisne antene

logaritmične antene, dolgo, srednje in kratkovalovne antene, metrske, decimetrske in centimetrske antene.

• Širjenje valovanja v atmosferi.

• Fundamental laws of the electromagnetic wave. • Theorems of the electromagnetic field. • Electromagnetic waves in space. • The radiation. • The current distribution over the linear antenna. • Impedance. • Reciprocity between broadcasting and receiving. • Analysis and synthesis of the polarized wave. • The waves over the straight surface of the Earth. • Lines, dipoles. • Antennas: Frequency-independent antennas,

log-periodic antennas, long-, middle- and shortwave antennas, meter, decimetre and centimetre antennas.

• Wave propagation through the atmosphere. • Radiation diagram, amplification, phase, and

• Radiacijski diagram, ojačenje, faza, polarizacija. polarization.


• M. Željeznov: Osnove teorije elektromagnetnega polja; UL, Fakulteta za elektrotehniko, Ljubljana, 1991.

• E. R. Stratman: Antenna theory and design; Hoboken, J. Willey & sons cop. 2003, COBISS.SI-ID: 24927749.

• T. A. Milligan: Modern antenna design; Hoboken, Willey-Interscience 2005, COBISS.SI-ID: 5027924. • J. Budin: Poglavja iz teorije anten; UL, Fakulteta za elektrotehniko, Ljubljana, 1991. • M. Vidmar: Sevanje in razširjanje: laboratorijske vaje; UL Fakulteta za elektrotehniko, Ljubljana,

1998. Cilji in kompetence:


Cilj je doseči pri študentih poglobljeno razumevanje razširjanja elektromagnetnega valovanja v prostoru ter jim podati osnove delovanja, uporabe in konstrukcije anten.

The objective is to give students profound understanding of electromagnetic wave propagation in space and to present fundamentals of application, design and functioning of antennas.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • Pokazati znanje in razumevanje na področju

razširjanja elektromagnih valov. • Izračunati in izmeriti osnovne parametre anten.

Knowledge and understanding: On completion of this course the student will be able to • Demonstrate knowledge and understanding on

the field of the electromagnetic wave propagations.

• To calculate in to measure basic antenna parameters.


pisnem izpitu. • Uporaba informacijske tehnologije: uporaba

programske opreme. • Reševanje problemov: reševanje problemov

širjenja valovanja in konstrukcije anten.

Transferable/Key skills and other attributes: • Communication skills: manner of expression at

written examination. • Use of information technology: use of software

tools. • Problem solving: solving of problems of wave

propagation and antenna design.



• predavanja, • laboratorijske vaje.

• lectures, • lab work.



Assessment:

• opravljene laboratorijske vaje, • pisni izpit.

50 % 50 %

• completed lab work, • written examination.

Reference nosilca / Lecturer's references:

• VLAOVIČ, Boštjan, VREŽE, Aleksander, BREZOČNIK, Zmago. Applying automated model extraction for simulation and verification of real-life SDL specification with spin. IEEE access, ISSN 2169-3536, 21 March 2017, vol. 5, str. 5046-5058, doi: 10.1109/ACCESS.2017.2685238. [COBISS.SI-ID 20580374], [JCR, SNIP, WoS do 2. 6. 2017: št. citatov (TC): 0, čistih citatov (CI): 0]

• VLAOVIČ, Boštjan, VREŽE, Aleksander, BREZOČNIK, Zmago, KAPUS, Tatjana. Verification of an SDL specification - a case study = Primer verifikacije specifikacije v jeziku SDL. Elektrotehniški vestnik, ISSN 0013-5852. [Slovenska tiskana izd.], 2005, vol. 72, no. 1, str. 14-21. [COBISS.SI-ID 9559062], [SNIP, Scopus do 15. 4. 2013: št. citatov (TC): 3, čistih citatov (CI): 0]

• VREŽE, Aleksander, VLAOVIČ, Boštjan, BREZOČNIK, Zmago. Sdl2pml - tool for automated generation of Promela model from SDL specification. Computer standards & interfaces, ISSN 0920-5489. [Print ed.], June 2009, vol. 31, iss. 4, str. 779-786, doi: 10.1016/j.csi.2008.09.005. [COBISS.SI-ID 13208086], [JCR, SNIP, WoS do 18. 6. 2017: št. citatov (TC): 2, čistih citatov (CI): 0, Scopus do 7. 10. 2015: št. citatov (TC): 3, čistih citatov (CI): 1]

• VLAOVIČ, Boštjan, VREŽE, Aleksander, BREZOČNIK, Zmago, KAPUS, Tatjana. Automated generation of Promela model from SDL specification. Computer standards & interfaces, ISSN 0920-5489. [Print ed.], 2007, iss. 4, vol. 29, str. 449-461. [COBISS.SI-ID 11273750], [JCR, SNIP, WoS do 11. 6. 2017: št. citatov (TC): 4, čistih citatov (CI): 1, Scopus do 9. 10. 2015: št. citatov (TC): 7, čistih citatov (CI): 2]

• BREZOČNIK, Zmago, VLAOVIČ, Boštjan, VREŽE, Aleksander. Model checking using Spin and SpinRCP = Preverjanje modelov z uporabo orodij Spin in SpinRCP. Informacije MIDEM, ISSN 0352-9045, Dec. 2013, vol. 43, no. 4, str. 235-250, ilustr. http://www.midem-drustvo.si/Journal%20papers/MIDEM_43(2013)4p235.pdf. [COBISS.SI-ID 17523222], [JCR, SNIP, WoS do 30. 1. 2014: št. citatov (TC): 0, čistih citatov (CI): 0, Scopus do 6. 10. 2015: št. citatov (TC): 1, čistih citatov (CI): 0]

http://www.midem-drustvo.si/Journal%20papers/MIDEM_43(2013)4p235.pdf

http://www.midem-drustvo.si/Journal%20papers/MIDEM_43(2013)4p235.pdf

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Digitalna obdelava signalov Course title: Digital Signal Processing




Semester Semester

Elektrotehnika 2. stopnja Elektronika 2. zimski

Electrical Engineering 2nd level Electronics 2. Autumn


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



30 30 120 6 Nosilec predmeta / Lecturer: Zdravko Kačič Jeziki / Languages:



Prerequisits:

Osnovno znanje matematike, osnovno znanje programiranja, osnovno znanje obdelave signalov.

Basic knowledge of mathematics, basic knowledge of programming, basic knowledge of signal processing.

Vsebina:


• Uvod: signali in sistemi, časovno diskretna in diskretna Fourierjeva transformacija, Z transformacija, predstavitev LPN sistemov v frekvenčnem prostoru, časovno diskretna korelacija in konvolucija.

• Filtri: tipi filtrov, digitalni filtri, načrtovanje filtrov, adaptivni filtri.

• Transformacija signalov v frekvenčno domeno: diskretna Fourierjeva transformacija, hitra Fourierjeva transformacija, diskretna kosinusna transformacija, praktični vidiki uporabe.

• Sistemi z več stopnjami vzorčenja: decimiranje s celoštevilsko vrednostjo D, interpolacija z

• Introduction: signals and systems, time discrete and discrete Fourier transform, Z transform, frequency domain characteristics of LPT systems, discrete-time correlation and convolution.

• Filters: filter types, digital filters, realization of digital filters, adaptive filters.

• Transforming signals into the frequency domain: discrete Fourier transform, fast Fourier Transform, discrete cosine transform, practical considerations.

• Multirate sampling systems: decimation by a factor D, interpolation by a factor I, sampling rate conversion by a rational factor I/D.

vrednostjo I, sprememba stopnje vzorčenja za vrednost I/D.

• Digitalno procesiranje signalov s signalnim procesorjem – sestava sistema za digitalno procesiranje, razvojno okolje, primeri procesiranja enodimenzionalnih in dvodimenzionalnih signalov.

• Digital signal processing with signal processor – components of the digital signal processing system, development environment, examples of digital signal processing of one- and two-dimensional signals.


• Z. Kačič: Digitalna obdelava signalov, delovno gradivo, Univerza v Mariboru, Fakulteta za elektrotehniko, računalništvo in informatiko, Maribor, 2006.

• T. Li, J. Jiang: Digital Signal Processing: Fundamentals and Applications, 2 edition, Academic Press, Boston, 2013.

• R.J. Schilling, S. L. Harris: Fundamentals of Digital Signal Processing, Nelson, a division of Thomson Canada Limited, Toronto, 2005.

• R. G. Lyons: Understanding Digital Signal Processing, 3 edition, Prentice Hall PTR, New Jersey, 2010.



Cilj predmeta je naučiti študente uporabljati postopke digitalne obdelave signalov.

The objective of this course is to learn students to use the algorithms of digital signal processing.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati znanje in razumevanje osnov

digitalnega procesiranja signalov, • opisati karakteristike sistemov digitalnega

procesiranja signalov, • načrtovati in analizirati karakteristike digitalnih

filtrov, • opisati komponente in uporabljati tipični

razvojni sistem DSP.

Knowledge and understanding: On completion of this course the student will be able to • explain the fundamentals of digital signal

processing, • describe the characteristics of digital signal

processing systems, • design and analyse the performance of digital

filters, • describe the components of and use a typical

DSP development system.



• Uporaba informacijske tehnologije: uporaba programskih orodij za digitalno obdelavo signalov.

• Reševanje problemov: načrtovanje in izvedba algoritmov digitalne obdelave signalov.


manner of expression at written exam. • Use of information technology: use of digital

signal processing software tools. • Problem solving: designing and implementing of

digital signal processing algorithms.



• predavanja, • seminarske vaje, • laboratorijske vaje, • projekt, • reševanje domačih nalog.

• lectures, • tutorial, • lab work, • project, • homework assignments.



Assessment:

• opravljena seminarsko delo , • opravljen projekt, • laboratorijske vaje, • pisni izpit.

10 % 20 % 20 % 50 %

• completed seminar work, • completed project, • lab work, • written exam.

Reference nosilca / Lecturer's references: • SEPESY MAUČEC, Mirjam, KAČIČ, Zdravko, VERDONIK, Darinka. Statistical machine translation of

subtitles for highly inflected language pair. Pattern recognition letters, 1 Sep. 2014, vol. 46, str. 96-103.

• KOČEVAR, Marko, KOTNIK, Bojan, CHOWDHURY, Amor, KAČIČ, Zdravko. Real-time fingerprint image enhancement with a two-stage algorithm and block-local normalization. Journal of real-time image processing, Published online 19 July 2014, vol. , no. , str. 1-4.

• ROJC, Matej, KAČIČ, Zdravko. Gradient-descent based unit-selection optimization algorithm used for corpus-based text-to-speech synthesis. Applied artificial intelligence, 2011, vol. 25, no. 7, str. 635-668.

• GRAŠIČ, Matej, KOS, Marko, KAČIČ, Zdravko. Online speaker segmentation and clustering using cross-likelihood ratio calculation with reference criterion selection. IET signal processing, Dec. 2010, vol. 4, iss. 6, str. 673-685.

• KOČEVAR, Marko, KLAMPFER, Saša, CHOWDHURY, Amor, KAČIČ, Zdravko. Analysis of the Influence of non-directional algorithms on fingerprint image enhancement. Elektronika ir elektrotechnika, 2014, vol. 20, no. 6, str. 104-109.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Elektronski elementi Course title: Electronic Devices




Semester Semester


Elektronika 1. ali 2.

zimski/ poletni

Electrical Engineering 2nd level

Electronics 1. ali 2. Autumn/ Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work






Prerequisits:

Osnovno znanje iz elektrotehnike in elektronike. Basic knowledge of electrical engineering and electronic.

Vsebina:


• Uvod: kristalna zgradba polprevodnika. • Lastnosti čistih polprevodnikov in

polprevodnikov s primesmi, valenčni pasovi, energijski pasovi, koncentracija prostih nosilcev v čistem polprevodniku, donatorji in akceptorji, termično ravnovesje, prenos nosilcev naboja.

• p-n spojna dioda, električno polje in napetost v zaporni plasti; p-n spoj pri prevodni in zaporni napetosti; tokovno-napetostna karakteristika diode; nadomestna vezja diode pri krmiljenju z majhnimi izmeničnimi signali, prehodni pojavi; visokofrekvenčni model, uporaba.

• Bipolarni tranzistor: statične karakteristike,

• Introduction: crystal structure of semiconductor.

• Properties of pure semiconductors and doped semiconductor with impurities, valence bonds, energy bands, intrinsic carrier concentration, donors and acceptors, thermal equilibrium condition, carrier transport phenomena.

• p-n junction diode, electric-field distribution electrostatic potential; p-n junction at forward-bias and reverse-bias condition; current-voltage characteristics; small-signal equivalent circuit and transient behaviour of p-n junction; high frequency models, application.

nizko- in visoko-frekvenčni modeli tranzistorja pri krmiljenju z majhnimi signali; stikalni model tranzistorja, bipolarni tranzistor iz raznovrstnih polprevodnikov.

• Unipolarni tranzistor: spojni FET, MOS z vgrajenim in induciranim kanalom; enosmerne karakteristike; delovna točka, nizko in visokofrekvenčni modeli tranzistorja pri krmiljenju z majhnimi izmeničnimi signali; uporaba.

• Mikrovalovni elementi: tunelska, IMPATT, BARITT dioda.

• Močnostni elementi: eno in dvosmerna štirislojna dioda; tiristor in triak; MOS tranzistor velike moči; bipolarni tranzistor z izoliranimi vrati IGBT; uporaba.

• Fotoelektrični elementi: svetleča dioda, polprevodniška laserska dioda, fotodetektor, sončna celica, optični spojniki, zgledi uporabe.

• Organski polprevodniki: strukture, lastnosti in zgledi uporabe.

• Nano-elektronski elementi, memristor.

• Bipolar transistor: static characteristics, low- and high-frequency small-signal models, switching model of transistor, heterojunction bipolar transistor.

• Unipolar devices: JFET, depletion- and enhancement-type MOSFET, transfer and drain characteristics, quiescent point, low- and high-frequency small-signal models, application.

• Microwave devices: tunnel diode, IMPATT, BARITT diode.

• Power semiconductor devices: four-layer p-n-p-n diode, diac, thyristor, triac, power MOS FET and IGBT, applications.

• Photonic devices: light-emitting diode, laser diode, photodetector, solar cell, optical couplers, application examples.

• Organic semiconductors: structures, properties and application examples.

• Nano-electronic devices, memristor.

Temeljni literatura in viri / Readings: • S.M.Sze: Semiconductor Devices, JohnWiley&Sons, New York, 1985. • Kanaan Kano: Semiconductor Devices, Prentice Hall, Upper Saddle River, New Yersey, 1998. • Kwok K.Ng: Complete Guid to Semiconductor Devices, McGraw-Hill, New York, 1995. • Jimmie J. Cathey: 2000 Solved Problems in Electronics Schaum's Solved Problems, McGraw-Hill, New

York, 1990. • J. Furlan, Osnove polprevodniških elementov, Tehniška založba Slovenije, Ljubljana, 2002.



Cilj predmeta je poglobiti znanje o polprevodniških elektronskih elementih.

The objective of this course is to provide detailed knowledge of semiconductor devices.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati znanje o elektronskih elementih, • modelirati elektronske elemente, • analizirati, načrtovati in sestaviti preprosta

vezja z elektronskimi elementi.

Knowledge and understanding: On completion of this course the student will be able to • describe the structure and operation of

semiconductor electronic devices, • understanding the modelling of electronic

devices, • analyse, design and build simple electronic

circuits using electronic devices.


laboratorijskih vaj, predstavitev seminarske naloge.

• Spretnosti računanja: reševanje računskih nalog s polprevodniškimi elementi.


manner of expression at written examination. • Calculation skills: solving problem with

semiconductor electronic devices.







Assessment:

• laboratorijske vaje, • testa.

35 % 65 %

• lab work, • tests.







UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Mobilni in vseprisotni elektronski sistemi Course title: Mobile and Ubiquitous Electronic Systems



Letnik Academic

year

Semester Semester

Elektrotehnika 2. stopnja Elektronika 1. ali 2. zimski/poletni Electrical Engineering 2nd level Electronics 1. ali 2. Autumn/Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



30 30 120 6 Nosilec predmeta / Lecturer: Matej Rojc Jeziki / Languages:



Prerequisits:

Znanje načrtovanja elektronskih sistemov, uporabe mikroprocesorjev, osnovna znanja digitalnega procesiranja signalov, osnov vgrajenih sistemov in programiranja.

Knowledge of electronic systems design, microprocessors, digital signal processing, embedded systems and programming.

Vsebina:


• Uvod: predstavitev vseprisotnih elektronskih sistemov.

• Vmesniki: vhodno/izhodne naprave, naravni vmesniki (govor, pisala, geste); komunikacijske rešitve med ljudmi in elektronskimi sistemi, interakcijski problemi, uporaba razpoznavanja slike; metodologije in procesi načrtovanja vmesnikov, metode implementiranja in primerjave vmesnikov; razvoj vmesnikov in interakcijskih tehnik.

• Razpoznavanje okolja: sledenje gibanju, uporaba RFID tehnologije in inteligentnih senzorjev.

• Prodorni sistemi z zavedanjem konteksta:

• Introduction: presentation of ubiquitous electronic systems.

• Interfaces: input/output devices, natural interfaces (speech, pens, gestures); communication solutions between humans and electronic systems, interaction problems; use of image recognition; methodologies and design processes of interfaces, implementation methods and comparisons of interfaces; development of interfaces and interaction techniques.

• Environment recognition: tracing movements, use of RFID technology and intelligent sensors.

• Context-aware pervasive systems: mobile

mobilni sistemi za zaznavanje fizičnega okolja, pristopi prilagajanja elektronskih sistemov.

• Okoljska inteligenca (AmI): okolja z elektronskimi sistemi, ki zaznavajo in se odzivajo na prisotnost ljudi; integracija mrežnih naprav v okolju; prilagajanje na uporabniške zahteve; zagotavljanje adaptabilnosti elektronskih sistemov.

• Mobilni nosljivi sistemi: metode zlivanja senzorskih signalov; razpoznavanje konteksta mobilnih komunikacijskih sistemov; procesiranje senzorskih signalov in zlivanje podatkov; koncepti in metode integracije mobilnih elektronskih sistemov v oblačil, tekstilni senzorji, tehnologije pakiranja, komunikacijske rešitve, napajanje v nosljivih sistemih.

• Načrtovanje vseprisotnih elektronskih sistemov za različna inteligentna okolja: analiza zmogljivosti, načrtovanje strojne, komunikacijske in programske opreme, uporaba prekinitev in sistemska integracija, optimizacija in testiranje.

• Načrtovanje brezžičnih senzorskih omrežij. • Brezžične tehnologije: bluetooth, zigbee, z-

wave, wi-fi.

systems for sensing physical environment, techniques for adaptation of electronic systems.

• Ambient intelligence (AmI): environments with electronic systems that sense and react to human presence; integration of network devices in the environment; adaptation to user demands; assurance of adaptability of electronic systems.

• Mobile wearable systems: methods for fusion of sensor signals; context recognition of mobile communication systems; processing sensor signals and data fusion; concepts and methods for integration of mobile electronic systems into clothes, textile sensors, packaging technologies, communication solutions, power supply solutions in wearable systems.

• Designing ubiquitous electronic systems for various intelligent environments: performance analysis, designing hardware, communication and software equipment, applying interrupts and system integration, optimisation and testing.

• Designing wireless sensor networks. • Wireless technologies: bluetooth, zigbee, z-

wave, wi-fi,

Temeljni literatura in viri / Readings: • U. Hansmann:Pervasive Computing: The Mobile World, Springer-Verlag, New York, 2003. • M. McCullough: Digital Ground: Architecture, Pervasive Computing, and Environmental Knowing, MIT

Press, Cambridge, 2005. • E. Aarts and J. Encarnacao: True Visions: The Emergence of Ambient Intelligence, Springer, Eindhoven,

2006. • Y.-L. Theng and H. Duh: Ubiquitous computing: Design, Implementation and Usability, Information

Science Reference, IGI Global, London, 2008.



Cilj predmeta je seznaniti študente z vseprisotnimi elektronskimi sistemi, uporabljenimi tehnologijami in s postopki ter tehnikami načrtovanja vseprisotnih elektronskih sistemov za različna inteligentna okolja.

The objective of this course is to acquaint students with ubiquitous electronic systems, used technologies, methods and techniques for designing ubiquitous electronic systems for various intelligent environments.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati znanje in razumevanje o tehnologijah,

ki omogočajo razvoj vseprisotnih elektronskih sistemov,

• načrtovati programsko opremo,


technologies that enable development of ubiquitous electronic systems,

• uporabiti postopke analize zmogljivosti, optimizacije in testiranja vseprisotnih elektronskih sistemov.

• design application software, • apply techniques for performance analysis,

optimisation analysis and testing of ubiquitous electronic systems.


laboratorijskih vaj, ustno izražanje pri ustnem izpitu.

• Uporaba informacijske tehnologije: iskanje informacij na svetovnem spletu, uporaba programskih orodij za analizo in načrtovanje vseprisotnih elektronskih sistemov.

• Spretnosti računanja: reševanje računskih nalog pri analizi in načrtovanju vseprisotnih elektronskih sistemov.

• Reševanje problemov: načrtovanje in izvedba vseprisotnih elektronskih sistemov.


manner of expression at oral exam. • Use of information technology: searching

information on the internet, use of software tools for analysis and design of ubiquitous electronic systems.

• Calculation skills: solving analysis and design problems for analysis and design of ubiquitous electronic systems.

• Problem solving: design and implementation of ubiquitous electronic systems.







Assessment:

• opravljen projekt, • ustni izpit.

60 % 40 %

• completed project, • oral exam.

Reference nosilca / Lecturer's references: • ROJC, Matej (urednik), CAMBELL, Nick (urednik). Coverbal synchrony in human-machine interaction.

Boca Raton; London; New York: CRC Press, cop. 2014. XIV, 420 str. • MLAKAR, Izidor, KAČIČ, Zdravko, ROJC, Matej. Describing and animating complex communicative

verbal and nonverbal behavior using Eva-framework. Applied artificial intelligence, 2014, vol. 28, iss. 5, str. 470-503.

• MLAKAR, Izidor, KAČIČ, Zdravko, ROJC, Matej. TTS-driven synthetic behavior generation model for embodied conversational agents. V: ROJC, Matej (ur.), CAMBELL, Nick (ur.). Coverbal synchrony in human-machine interaction. Boca Raton; London; New York: CRC Press, cop. 2014, str. 325-359.

• MLAKAR, Izidor, ROJC, Matej. A new distributed platform for client-side fusion of web applications and natural modalities : MWP platform. Applied artificial intelligence, 2013, vol. 27, iss. 7, str. 551-574.

• MLAKAR, Izidor, KAČIČ, Zdravko, ROJC, Matej. TTS-driven synthetic behaviour-generation model for artificial bodies. International journal of advanced robotic systems, ISSN 1729-8806, 2013, vol. 10, št. 10, str. 1-20.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Načrtovanje elektronskih merilnih sistemov Course title: Design of Electronic Measurement Systems




Semester Semester



Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



30 30 120 6 Nosilec predmeta / Lecturer: Tomaž Dogša Jeziki / Languages:



Prerequisits:

Osnovno znanje iz meritev, elektrotehnike in elektronike.

Basic knowledge of measurement, electrical and electronic engineering.

Vsebina:


• Uvod: splošni merilni sistem, funkcijski elementi, statične in dinamične karakteristike.

• Analogni merilniki in digitalni merilniki. • Izvori šuma. • Operacijski ojačevalnik: vezja in uporaba. • Merjenje signalnih popačenj. • Vzorčevalna in zadrževalna vezja. • Analogna stikala. • Pretvorniki neelektričnih v električne veličine -

uporovni, kapacitivni in induktivni senzorji: temperaturne sonde, pH senzor, sonde občutljive na plin, elektrokemični senzorji, magnetne sonde za merjenje pretoka in sile, magnetni dajalniki impulzov, Hallova sonda.

• Fotoelektrični pretvorniki in optični senzorji. • Ultrazvočni senzorji.

• Introduction: general measurement system, functional elements, static and dynamic characteristics.

• Analogue and digital measurement instruments. • Noise sources. • Operational amplifier: circuits and applications. • Signal distortion measurements. • Sample and hold circuits. • Analogue switch circuits. • Transducers – resistive, capacitive and

inductive: thermometers, pH sensor, gas sensitive sensor, electrochemical sensors, electromagnetic sensors for flow and strain, Hall sensor.

• Photo detectors and optical sensors. • Ultrasonic sensors.

• Resonatorji in kristalni oscilatorji. • MEMS senzorji, pospeškometri, giroskopi. • Gradnja in umerjanje elektronskih merilnih

sistemov. • Zunanja frekvenčna referenca. • Zaščita pred dogodki elektrostatične

razelektritve. • Elektromagnetna združljivost in interferenca.

• Resonators and crystal oscillators. • MEMS sensors, accelerometers, gyroscopes. • Design and calibration of electronic

measurement systems. • External frequency reference. • Protection against electrostatic discharge

events. • Electromagnetic compatibility and interference.

Temeljni literatura in viri / Readings: • M. Solar: Meritve v elektroniki, Univerza v Mariboru, Fakulteta za elektrotehniko, računalništvo in

informatiko, 2001. • J. G. Webster: The Measurement, Instrumentation, and Sensors Handbook, CRC Press LCC, 1999. • J. Niebuhr, G. Lindner: Physikalische Meβtechnik mit Sensoren, R. Oldenbourg Verlag München Wien

1994. • A. S. Morris: Measurement and Calibration Requirements, John Wiley & Sons, Chichester 1997.



Cilj predmeta je spoznati študente s senzorji električnih in neelektričnih veličin, pretvorniki in izvršilnimi členi ter načrtovati in umeriti elektronski merilni sistem.

The objective of this course is to provide detailed knowledge of electrical and non-electrical sensors, transducers and actuator, and design and calibration of electronic measurement system.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • razložiti delovanje določenega senzorja in

izmeriti njegovo karakteristiko, • uporabiti senzor in ga priključiti na analogno ali

digitalno vezje, • načrtovati in zgraditi preprost odprt merilni

sistem.

Knowledge and understanding: On completion of this course the student will be able to • explain the operating principles of a given

sensor and measure the sensor’s characteristics, • apply the sensor and connect it to the analogue

or digital circuit, • design and build the simple open measurement

system.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti računanja: teoretična priprava in

praktično delo pri izdelavi projekta. • Reševanje problemov: delo v skupinah pri

izdelavi projekta.

Transferable/Key skills and other attributes: • Communication skills: theoretical prepare and

practical work on the project. • Problem solving: group working: at project.







Assessment:

• opravljen projekt, • testa.

50 % 50 %

• completed project, • tests.

Opomba: Testa se lahko nadomestita s pisnim izpitom. Note: The tests may be replaced with a written exam. Reference nosilca / Lecturer's references:

• DOGŠA, Tomaž, SOLAR, Mitja, JARC, Bojan. Precision delay circuit for analog quadrature signals in Sin/Cos encoders. IEEE transactions on instrumentation and measurement, ISSN 00189456. [Print ed.], Dec. 2014, vol. 63, no. 12, str. 27952803,ilustr. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6814925. [COBISS.SIID18283798]

• DOGŠA, Tomaž, SOLAR, Mitja, JARC, Bojan. Delaying analogue quadrature signals in Sin/Cos encoders = Zakasnjevanje analognih kvadraturnih signalov v Sin/Cos enkoderjih. Informacije MIDEM, ISSN 03529045, mar. 2014, letn. 44, št. 1, str. 6974, ilustr. http://www.midemdrustvo. si/Journal%20papers/MIDEM_44(2014)1p69.pdf. [COBISS.SIID 17746710]

• DOGŠA, Tomaž, BATIČ, David. The effectiveness of testdriven development: an industrial case study. Software quality journal, ISSN 09639314. [Print ed.], 2011, vol. 19, no. 4, str. 643661, doi: 10.1007/s1121901191302. [COBISS.SIID 14850326]

• DOGŠA, Tomaž. CAE/CAD v elektroniki, Analiza in načrtovanje toleranc. 2. popravljena izd. Maribor: Fakulteta za elektrotehniko, računalništvo in informatiko, Inštitut za elektroniko in telekomunikacije, 2010. ISBN 978-961-248-233-6. http://dkum.uni-mb.si/Dokument.php?id=15877. [COBISS.SI-ID 65052417]

• MEOLIC, Robert, DOGŠA, Tomaž. A C++ app for demonstration of sorting algorithms on mobile platforms. International journal of interactive mobile technologies, ISSN 18657923, 2014, vol. 8, no. 1, str. 4045. [COBISS.SIID 17510422]

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6814925

http://www.midemdrustvo/

http://dkum.uni-mb.si/Dokument.php?id=15877

https://plus.si.cobiss.net/opac7/bib/65052417?lang=sl

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Načrtovanje strojne opreme vgrajenih sistemov Course title: Embedded System Hardware Design




Semester Semester



Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work






Prerequisits:

Osnovno znanje elektronike, digitalnih sistemov in digitalnega procesiranja signalov ter poznavanje programskega jezika C.

Basic knowledge of electronics, digital systems and digital signal processing, and familiarity with programming language C.

Vsebina:


• Uvod: pregled vgrajenih sistemov, tehnologija procesorjev, izzivi in tehnologija načrtovanja, ekonomski vidik, konvergenca vgrajenih sistemov.

• Računalniki kot komponente: namen vgrajevanja procesorjev, principi načrtovanja, programirljiva logična vezja, specifične zahteve in predhodno definirane naloge, energijska učinkovitost.

• Arhitektura vgrajenih sistemov: osnovni vhodno/izhodni model, procesne enote, večprocesorski sistemi, medprocesorska komunikacija, deljen pomnilnik, koncepti programske opreme, načrtovanje interakcije in uporabniški vmesniki, porazdeljeni sistemi strežnik/odjemalec.

• Napredni principi komunikacije: vzporedna, zaporedna, hitra zaporedna, brezžična komunikacija, električni, fizični, in protokolarni nivo, žična in brezžična omrežja.

• Introduction: overview of embedded systems, processor technology, challenges and the design technology, economic point of view, embedded systems convergence.

• Computes as components: purpose of embedding processors, design principles, programmable logic devices, specific requirements and predefined tasks, energy effective embedded systems.

• Embedded system architecture: basic input/output model, processing units, multi-processor systems, inter-processors communication, shared memory, software concepts, interaction design and user interfaces, server/client distributed systems.

• Advanced communication principles: parallel, serial, fast serial, wireless communication, electrical, physical, and protocol communication level, wireless and wired networks.

• Sistemi v realnem času: pomen procesiranja v realnem času, zahteve in osnovni pristopi, časovni in prekinitveni model deljenja procesov, posebnosti strojne opreme.

• Strojno pospeševanje: pomen strojnega pospeševanja, smotri, primernost in potreba, uporaba digitalnih signalnih procesorjev.

• Operacijski sistemi: pomen operacijskega sistema z vidika vgrajenih sistemov, enoprocesni sistemi, večopravilnost, specifični operacijski sistemi, pregled splošno namenskih operacijskih sistemov, vgrajevanje splošno namenskih operacijskih sistemov, sodobni pomnilniški mediji, programska nadgradnja sistemov.

• Specifičnost načrtovanja glede na aplikacijska področja: splošen krmilni model, industrijska avtomatizacija, telekomunikacijske naprave, multimedijske aplikacije, mobilne aplikacije, medicinska tehnika, preizkusna in merilna tehnika.

• Real-time systems: importance of the real-time processing, requirements and basic the approaches, time and interrupt model for process sharing, hardware particularity.

• Hardware acceleration: meaning of the hardware acceleration, purpose, suitability and needfulness, use of digital signal processors.

• Operating systems: meaning of the operating system from the point of view of embedded systems, single-processor systems, multitasking, specific operating systems, review of common-use operating systems, embedding of common-use operating systems, advanced media storage, system software upgrade.

• Design specifics in regards to application areas: common control model, industrial automation, telecommunication devices, multimedia applications, mobile applications, medicine devices, testing and measurement devices.

Temeljni literatura in viri / Readings: • Peter Marwedel: Embedded System Design, Kluwer Academic Publishers, Boston, 2003. • Frank Vahid, Tony Givargis: Embedded System Design: A Unified Hardware/Software Introduction,

Wiley, New York, 2002. • Wayne H. Wolf: Computers as Components: Principles of Embedded Computing System Design,

Morgan Kauffman Publishers, San Francisco, 2001. • Jack G. Ganssle: The Art of Designing Embedded Systems, Newnes, Boston, 2000.



Cilj predmeta je seznaniti študente z osnovnimi principi načrtovanja strojne opreme vgrajenih sistemov.

The objective of this course is to acquaint students with the basic principles of embedded system hardware design.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati znanje in razumevanje uporabe

računalnikov kot komponente celovitih sistemov, vključujoč razumevanje njihovih osnovnih modelov in izbire primerne arhitekture glede na podan problem.

• navesti napredne principe komunikacije vgrajenih sistemov in jih ovrednotiti glede na podan način, potrebe in zahteve po integraciji v celovit sistem.

• analizirati potrebe procesiranja v realnem času in jih posplošiti na primeren model deljenja procesov.

• ovrednotiti smotre uporabe strojnega pospeševanja glede na zahtevano učinkovitost sistema in jih razporediti po tipu implementacije.


use of the computers as components of integral systems, including the understanding of their basic models and choice of the appropriate architecture in regards to the given problem.

• list advance communication principles of the embedded system and evaluate them in regards to the given mode, needs, and requirements of the integration into the integral system.

• analyse the requirements of the real-time processing and generalise to the appropriate model of process sharing.

• evaluate the purposes to use the hardware acceleration in regards to the required system performance and classify them by the type of

• izbrati primeren operacijski sistem glede na aplikacijsko področje vgrajenega sistema v skladu z zahtevami procesiranja v realnem času.

• načrtovati, sestaviti in preveriti vgrajen sistem omejene kompleksnosti glede na aplikacijsko področje in podane specifične zahteve ter predhodno definirane naloge.

the implementation. • select the appropriate operating system in

regards to the application area of the embedded system and in accordance to the requirements of the real-time processing.

• design, implement, and test embedded systems of limited complexity in regards to the application areas, given specific requirements and previously defined tasks.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranj: ustni zagovor

laboratorijskih vaj, skupinska ustna in spletna predstavitev projektne naloge, pisno izražanje pri pisnem izpitu.

• Uporaba informacijske tehnologije: uporaba programskih orodij za načrtovanje vgrajenih sistemov.

• Organizacijske spretnosti: uporaba metod projektnega vodenja.

• Reševanje problemov: načrtovanje in izvedba preprostih vgrajenih sistemov.

• Delo v skupini: skupinske projektne naloge.


team oral and web presentation of project assignment, expression at written examination.

• Use of information technology: use of embedded system design software tools.

• Organisation skills: use of project management methods.

• Problem solving: designing and implementing of simple embedded systems.

• Working in a group: team project assignments.



• predavanja, • seminarske vaje, • projekt.

• lectures, • tutorial, • project.



Assessment:

• opravljen projekt, • testa.

50 % 50 %

• completed project, • tests.







UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Napredni programirljivi elektronski sistemi Course title: Advanced Programmable Electronic Systems




Semester Semester


Elektronika

2. zimski

Electrical Engineering 2nd level Electronics 2. Autumn Vrsta predmeta / Course type Univerzitetna koda predmeta / University course code:

Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Matej Rojc Jeziki / Languages:



Prerequisits:

Osnovo znanje elektronike, mikroprocesorjev in programiranja.

Basic knowledge of electronics, microprocessors and programming.

Vsebina:


• Programirljivi elektronski sistemi: FPGA, DSP, ARM procesorji.

• Programska razvojna orodja: tipični razvojni sistemi programirljivih elektronskih sistemov, prevajalniki, razhroščevalniki, povezovalniki.

• Programski jeziki: primeri uporabe zbirnika, programskega jezika C, Verilog ali VHDL pri različnih programirljivih elektronskih sestavih.

• Optimizacija kode: optimizacijski koraki in pristopi.

• Izvedba algoritmov procesiranja signalov: sestava sistema za procesiranje signalov, optimizacija izvedbe, evaluacija izvedbe in hitrosti delovanja sistema.

• Postopki načrtovanja programirljivih

• Programmable electronic systems: FPGA, DSP, ARM processors.

• Software development tools: typical development systems for programmable electronic systems, compilers, debuggers, linkers.

• Programming languages: examples of using assembler, C language, Verilog or VHDL in various programmable electronic systems.

• Code optimisation: optimisation steps and approaches.

• Implementation of signal processing algorithms: system’s structure for signal processing, implementation optimisation, system’s implementation and real-time performance

elektronskih sistemov: specifikacije zahtev, izvedba algoritmov in simulacij, izbira programirljivega elektronskega sistema, arhitektura programske in strojne opreme, kodiranje in razhroščevanje, integracija sistema, testiranje sistema in uporaba.

• Verificiranje programirljivih elektronskih sistemov: uporaba modelov, definiranje modelov, tipi modelov, pristopi modeliranja, načrtovanja/verificiranja.

evaluation. • Programmable electronic systems’ design

procedures: specifications, implementation of algorithms and simulations, selection of programmable electronic system, software and hardware architecture, system integration, testing system and application.

• Programmable electronic systems’ verification: models application, definition of models, model types, approaches to modelling, designing/verification.

Temeljni literatura in viri / Readings: • Uwe Meyer-Baese, Digital Signal Processing with Field Programmable Gate Arrays, Springer-Verlag,

Berlin Heidelberg, 2004. • Wayne Wolf, FPGA-Based System Design, Prentice-Hall PTR, Upper Saddle River, New York, USA, 2004. • Douglas L. Perry, VHDL: Programming by example, McGraw-Hill, New York, USA, 2002. • Rulph Chassaing, Digital Signal Processing and Applications with the C6713 and C6416 DSK, Wiley, New

York, USA, 2005. • Andrew N. Sloss, Dominic Symes, Chris Wright, ARM System Developer’s – Designing and optimizing

system software, Elsevier, San Francisco, USA, 2004. Cilji in kompetence:


Cilj predmeta je seznaniti študente s strojnimi programirljivimi platformami in pristopi načrtovanja ter programiranja elektronskih sistemov, ki vsebujejo mikrokrmilnike, FPGA, ARM ali DSP procesorje na osnovi realnih in vsebinsko zanimivih problemov.

The goal is to give students knowledge about programmable hardware platforms and to provide detailed knowledge of programmable electronic systems’ design techniques, containing microcontrollers, FPGA, ARM or DSP solving real-life and interesting problems.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • uporabiti različne programirljive elektronske

sisteme, • uporabiti tipična programska razvojna orodja

za programiranje elektronskih sistemov, • uporabiti optimizacijske pristope in korake, • izvesti zahtevne algoritme procesiranja

signalov, • izvesti algoritme in simulacije, • izvesti postopke verificiranja programirljivih

elektronskih sistemov.

Knowledge and understanding: On completion of this course the student will be able to • use various programmable electronic systems, • to use typical software development toolkits for

programming of electronic systems, • use optimisation steps and approaches, • implement sophisticated signal processing

algorithms, • implement algorithms and simulations, • implement programmable electronic systems’

verification approaches.



• Uporaba informacijske tehnologije: uporaba


manner of expression at written examination. • Use of information technology: use of software

tools for programming of programmable

programskih orodij za programiranje programirljivih elektronskih sistemov.

• Reševanje problemov: izvedba realističnih in vsebinsko zanimivih problemov na programirljivih elektronskih sistemih.

electronic systems. • Problem solving: designing programmable

electronic systems.



• predavanja, • laboratorijske vaje, • seminarske vaje, • domače naloge.

• lectures, • lab work, • tutorial, • homeworks.



Assessment:

• opravljen projekt, • ustni izpit.

60 % 40 %

• completed project, • oral exam.

Reference nosilca / Lecturer's references: • ROJC, Matej (urednik), CAMBELL, Nick (urednik). Coverbal synchrony in human-machine interaction.

Boca Raton; London; New York: CRC Press, cop. 2014. XIV, 420 str., ilustr. • MLAKAR, Izidor, KAČIČ, Zdravko, ROJC, Matej. Describing and animating complex communicative

verbal and nonverbal behavior using Eva-framework. Applied artificial intelligence, 2014, vol. 28, iss. 5, str. 470-503.

• MLAKAR, Izidor, KAČIČ, Zdravko, ROJC, Matej. TTS-driven synthetic behavior generation model for embodied conversational agents. Coverbal synchrony in human-machine interaction. Boca Raton; London; New York: CRC Press, cop. 2014, str. 325-359.

• MLAKAR, Izidor, ROJC, Matej. A new distributed platform for client-side fusion of web applications and natural modalities : MWP platform. Applied artificial intelligence, 2013, vol. 27, iss. 7, str. 551-574.

• MLAKAR, Izidor, KAČIČ, Zdravko, ROJC, Matej. TTS-driven synthetic behaviour-generation model for artificial bodies. International journal of advanced robotic systems, 2013, vol. 10, št. 10, str. 1-20.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Magistrsko delo Course title: Master’s Thesis




Semester Semester

Elektrotehnika 2. stopnja Vse smeri 2. poletni Electrical Engineering 2nd level All tracks 2. Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



30 870 30 Nosilec predmeta / Lecturer: vsi nosilci/all lectureres Jeziki / Languages:



Prerequisits:

Študent prosi za odobritev pričetka priprave magistrskega dela najkasneje, ko opravi obveznosti, predvidene v študijskem programu.

The student applies for the master’s thesis preparation at the latest after she/he fulfils the conditions prescribed by the study program.

Vsebina:


• Uvod: potek priprave magistrskega dela, planiranje dela, metode iskanja virov.

• Metodologija strokovnega in raziskovalnega dela: opredelitev namena in ciljev, opredelitev problemov za obravnavo, predpostavke in omejitve, postavljanje hipotez o primernih načinih obravnave problemov, postopek reševanja problemov in prikaz rešitev glede na vrsto teme magistrskega dela.

• Priprava pisnega dela: navodila za pripravo pisnega izdelka, strokovno pisanje v slovenskem jeziku, uporaba strokovne terminologije, pravilno navajanje virov.

• Priprava predstavitve: navodila za pripravo predstavitve z uporabo informacijske

• Introduction: the course of master’s thesis preparation, planning activities, source searching methods.

• Professional and research work methodology: definition of purpose and objectives, definition of problems to be dealt with, assumptions and limitations, setting hypotheses on the appropriate ways for dealing with the problems, the procedure of problem solving and presentation of solutions in accordance with the type of the thesis theme.

• Written thesis preparation: instructions for the written thesis preparation, professional writing in Slovene, use of professional terminology, proper citation of sources.

tehnologije, navodila za ustno predstavitev, argumentiranje in odgovarjanje na vprašanja pri zagovoru magistrskega dela.

• Oral presentation preparation: instructions for the presentation preparation using information technology, guidelines for oral presentation, argumentation, and answering to questions at the master’s thesis defence.

Temeljni literatura in viri / Readings: • Navodila za pripravo magistrskega dela, Univerza v Mariboru, Fakulteta za elektrotehniko,

računalništvo in informatiko (v pripravi). • Ustrezni knjižni in drugi viri, odvisno od teme magistrskega dela.



Cilj tega predmeta je študente izuriti v načrtovanju in izvedbi samostojnega projekta s področja, ki ga zajema študijski program, v omejenem časovnem obdobju ter predstavljanju njegovih rezultatov.

The objective of this course is to train students to plan and carry out an independent project in a field, covered by the study programme, within a certain time limit and to present its results.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati kompetence, ki mu bodo omogočale

samostojno reševanje inženirskih problemov, • izkazati obvladovanje osnov metod

raziskovalnega dela, • jasno in jedrnato predstaviti rezultate svojega

dela, • izkazati znanje s širšega strokovnega področja,

v katero sodi magistrsko delo, ter aktualno znanje in razumevanje pojmovnika z ožjega področja, ki ga zajema tema magistrskega dela; poudarek je na inženirskih znanjih z osnovnimi elementi raziskovalnega dela in uveljavljenih metodologijah zajemanja, obdelovanja in prikazovanja podatkov.

Knowledge and understanding: On completion of this course the student will be able to • demonstrate competences enabling her/him to

solve engineering problems individually, • demonstrate mastering of the fundamentals of

research methodology, • present the results of her/his work in a clear and

concise way, • demonstrate knowledge of the broader

professional field to which the thesis belongs, as well as state-of-the-art knowledge and understanding of the glossary in the specific field covered by the thesis theme; the emphasis is on engineering skills with basic elements of research and established methodologies of collecting, processing, and presenting data.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: strokovno pisanje in

izražanje pri pripravi magistrskega dela, predstavitev ključnih prispevkov in argumentiranje pri zagovoru.

• Uporaba informacijske tehnologije: iskanje virov na svetovnem spletu in v knjižnicah, uporaba različnih vrst programske in strojne opreme za izvedbo dela, odvisno od teme, uporaba informacijske tehnologije za urejanje besedila, pripravo predstavitve dela ter zagovor.

Transferable/Key skills and other attributes: • Communication skills: professional writing and

expression during the thesis preparation, presentation of key contributions and argumentation at the thesis defence.

• Use of information technology: searching sources on the web and in libraries, use of different types of software and hardware for completion of the thesis, depending on its theme, use of information technology for the thesis text and presentation preparation, and its defence.

• Spretnosti računanja: izvajanje izračunov z določenega področja pri izvedbi magistrskega dela, če to zahteva tema.

• Reševanje problemov: reševanje problemov, zadanih s temo magistrskega dela.

• Calculation skills: performing calculations in a specific area if required by the thesis theme.

• Problem solving: solving the problems given by the thesis theme.



• konzultacije z mentorjem magistrskega dela (30 ur),

• samostojno delo (študij literature, reševanje zadanih problemov, priprava pisnega izdelka in predstavitve) (870 ur).

• consultations with the thesis advisor (30 hours), • individual work (study of the literature, solving

of the given problems, preparation of the thesis text and presentation) (870 hours).



Assessment:

• magistrsko delo, • zagovor magistrskega dela.

80 20

• thesis, • thesis oral defence.

Reference nosilca / Lecturer's references:

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Elektrarne in električna omrežja Course title: Power Plants and electricity networks




Semester Semester

Elektrotehnika 2. stopnja Močnostna elektrotehnika 2. zimski Electrical Engineering 2nd level Power Engineering 2. Autumn


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work






Prerequisits:

Osnovno znanje matematike, fizike in elektrotehnike. Pretvarjanje energije.

Basic knowledge of mathematics, physics and electrical engineering. Energy conversion.

Vsebina:


• Konvencionalni, alternativni in obnovljivi viri energije.

• Elektrarne in sistemi za proizvodnjo energije. • Diagram obremenitve in pokrivanje potreb po

moči in energiji. • Značilnosti posameznih vrst elektrarn in

njihovo obratovanje. • Termoelektrarne in kogeneracije. • Cena proizvedene energije. • Vplivi hidro, termo in nuklearnih elektrarn na

okolje. • Razpršena proizvodnja električne energije. • Značilnosti izkoriščanja obnovljivih virov. • Vključevanje elektrarn v elektroenergetski

sistem. • Prenosna in razdeljevalna omrežja. • Metode za izračun pretokov energije. • Pametna omrežja, mikro omrežja in nano

• Conventional, alternative and renewable energy sources.

• Power plants and electricity production systems. • Load diagram, power and energy production. • Different types of power plants and their

operational characteristics. • Thermal power plants and cogeneration. • Energy costs. • Environmental impacts of hydro, thermal and

nuclear power plants. • Distributed generation and renewable energy. • Characteristics of renewable energy sources. • Connecting power plants to the power system. • Transmission and distribution electricity

networks. • Load flow calculation methods. • Smart Grids, Micro Grids and Nano Grids.

omrežja.

Temeljni literatura in viri / Readings: • K. Straus: Kraftwerkstechink, Springer, Berlin, 1998. • P. Kruger, Alternative energy resources – The quest of sustainable energy, John Willy & Sons, New

Jersey, 2006. • B. Orel: Energetski pretvorniki I, II, Univerza v Ljubljani, Fakultata za elektrotehniko, Ljubljana, 1987. • H. Požar: Osnove energetike I, II, III, Školska knjiga, Zagreb, 1992. • J. Voršič, T. Zorič, M. Horvat, Izračun obratovalnih stanj v elektroenergetskih omrežjih, Fakulteta za

elektrotehniko, računalništvo in informatiko, Maribor, 2009. • P. K. Nag, Power Plant Engineering, McGraw-Hill, 2008. • R. Singh, Electrical Networks, McGraw-Hill, 2008. • N. Hatziargyriou, Microgrids: Architectures and Control, Wiley, 2014. • J. Momoh, Smart Grid: Fundamentals of Design and Analysis, Wiley, 2012. Cilji in kompetence:


Cilj predmeta je razumevanje vloge različnih elektrarn, sistemov za proizvodnjo električne energije in električnih omrežij v elektroenergetskem sistemu.

The objective of this course is to understand the role of different power plants, electricity production units and electricity networks in electrical power system.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati znanje in razumevanje proizvodnje

električne energije in električnih omrežij, • analizirati in načrtovati potrebno moč in

proizvedeno energijo za pokrivanje danega diagrama obremenitev z proizvodnimi enotami, ki uporabljajo konvencionalne ali obnovljive vire energije,

• ovrednotiti ustreznost posameznih enot za proizvodnjo električne energije in izbrati primerne proizvodne enote za pokrivanje danega diagrama obremenitev,

• določiti pretoke energije v električnih omrežjih med proizvodnimi enotami in porabniki.


electrical power generation and electricity networks,

• analyse and design electrical power and energy generation according to the given load diagram, using conventional and renewable energy sources,

• evaluate the applicability of individual electrical energy production units and to choose appropriate production units for given load diagram,

• determine load flow in electricity networks between electricity generation units and consumers.


pisnem izpitu, ustni zagovor laboratorijskih vaj in vsebine predmeta.

• Uporaba informacijske tehnologije: uporaba programskih orodij za simulacije in numerične izračune.

• Spretnosti računanja: izračuni enostavnih procesov v različnih enotah za proizvodnjo električne energije in izračuni pretokov energije v omrežjih.


written examination, oral lab work defence and oral examination.

• Use of information technology: use of software tools for simulations and numerical computation.

• Calculation skills: performing calculations of simple processes in different electric power generation units and laod flow calculations in electricity networks.

http://eu.wiley.com/WileyCDA/Section/id-302479.html?query=Nikos+Hatziargyriou

http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118720687.html

http://eu.wiley.com/WileyCDA/Section/id-302479.html?query=James+Momoh

• Reševanje problemov: načrtovanje enostavnih sistemov enot za proizvodnjo električne energije in električnih omrežij, ki pokrivajo dani diagram porabe.

• Problem solving: designing of simple electric power generation systems and electricity networks according to the given load diagram.







Assessment:

• opravljene domače naloge, • laboratorijske vaje, • test, • kolokvij.

25 25 25 25

• completed homework, • lab work, • test, • preliminary oral assessment.

Opomba: Test se lahko nadomesti s pisnim izpitom, kolokvij pa z ustnim izpitom. Note: The test may be replaced with a written exam and the preliminary oral assessment may be replaced with an oral exam. Reference nosilca / Lecturer's references: • KRANJČIČ, Dalibor, ŠTUMBERGER, Gorazd. Differential evolution-based identification of the nonlinear

Kaplan turbine model. IEEE transactions on energy conversion, 2014, vol. 29, issue 1, str. 178-187, graf. prikazi.

• LUKAČ, Niko, ŽLAUS, Danijel, SEME, Sebastijan, ŽALIK, Borut, ŠTUMBERGER, Gorazd. Rating of roofs' surfaces regarding their solar potential and suitability for PV systems, based on LiDAR data. Applied energy, Feb. 2013, vol. 102, str. 803-812.

• LUKAČ, Niko, SEME, Sebastijan, ŽLAUS, Danijel, ŠTUMBERGER, Gorazd, ŽALIK, Borut. Buildings roofs photovoltaic potential assessment based on LiDAR (light detection and ranging) data. Energy, 2014, vol. 66, str. 598-609.

• SEME, Sebastijan, ŠTUMBERGER, Gorazd. A novel prediction algorithm for solar angles using solar radiation and differential evolution for dual-axis sun tracking purposes. Solar energy, Nov. 2011, vol. 85, iss. 11, str. 2757-2770.

• SEME, Sebastijan, ŠTUMBERGER, Gorazd, VORŠIČ, Jože. Maximum efficiency trajectories of a two-axis sun tracking system determined considering tracking system consumption. IEEE transactions on power electronics, apr. 2011, vol. 26, no. 4, str. 1280-1290.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Elektrodinamika Course title: Electrodynamics



Letnik Academic

year

Semester Semester


Močnostna elektrotehnika 1. ali 2. zimski / poletni

Electrical Engineering 2nd level Power Engineering 1. ali 2. Autumn / Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



30 30 120 6 Nosilec predmeta / Lecturer: Peter Kitak Jeziki / Languages:



Prerequisits:

Osnovno znanje matematike, fizike in osnov elektrotehnike.

Basic knowledge of mathematics, physics and Introduction to electrical engineering.

Vsebina:


• Koordinatni sistemi, vektorska analiza. • Integralna in diferencialna oblika Maxwellovih

enačb za mirujoča in časovno spremenljiva elektromagnetna polja.

• Razlaga in možnosti uporabe Poyntingovega teorema, kožnega pojava in sosedstvenega pojava.

• Elektromagnetno valovanje. • Električni vodi in valovodi. • Zakoni termodinamike in prenos toplote. • Sklopljena analiza elektrotermičnih pojavov –

vrtinčni tokovi in temperatura. Robni problemi – krajevni in časovni.

• System of coordinates, vector analysis. • Maxwell equations in integral and differential

form for static and time-varying electromagnetic fields.

• Poynting theorem, skin effect an proximity effect - explanation.

• Electromagnetic waves. • Electrical lines and waveguides. • Laws of thermodynamics and heat transfer • Electrothermal coupled analysis - eddy currents

and temperature. Boundary problems - time and place depending.

• Methods of solution electromagnetic problems

• Metode reševanja elektromagnetnih problemov z uporabo numeričnih metod in postopkov optimiranja.

using numerical methods and optimization procedures.

Temeljni literatura in viri / Readings: • H. W. Hart, J. A. Buck: Engineering electromagnetics, 7th. Ed. McGraw-Hill, Boston, 2006. • R. F. Harrington: Introduction to electromagnetic engineering, Dover Publications, Mineola NY, 2003. • M. Željeznov: Osnove teorije elektromagnetnega polja, UL, Fakulteta za elektrotehniko, Ljubljana,

1991. • B. Popović, Elektromagnetika, Nauka, Beograd, 1997. • P. Lorrain, D. R. Corson, F. Lorrain, Fundamentals of electromagnetic phenomena, W.H. Freeman, New

York, 2000.



Cilj tega predmeta je pridobiti znanje iz posebnih področjih teorije elektromagnetnega polja posebej za potrebe močnostne elektrotehnike.

The objective of this course is to acquire knowledge on the special areas of electromagnetic field theories, specially for power engineering.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben razumeti • razširjanje elektromagnetnih valov, • kožni pojav, • sosedstveni pojav, • vrtinčne tokove, • metode reševanja.

Knowledge and understanding: On completion of this course the student will be able to understand • electromagnetic wave propagation, • skin effect, • proximity effect, • eddy currents, • solving methods.


pisnem izpitu. • Uporaba informacijske tehnologije: uporaba

programske opreme. • Reševanje problemov: reševanje problemov

časovno spremenljivih elektromagnetnih polj.


written examination. • Use of information technology: use of software

tools. • Problem solving: solving of problems of time

depending electromagnetic fields. Metode poučevanja in učenja:






Assessment:

• laboratorijske vaje, • testi, • kolokvij.

25 25 50

• lab work, • tests, • preliminary oral assessment.

Opomba: Testi se lahko nadomestijo s pisnim izpitom, kolokvij pa z ustnim izpitom.

Note: The test may be replaced with a written exam and the preliminary oral assessment may be replaced with an oral exam. Reference nosilca / Lecturer's references: • GLOTIĆ, Arnel, GLOTIĆ, Adnan, KITAK, Peter, PIHLER, Jože, TIČAR, Igor. Optimization of hydro energy

storage plants by using differential evolution algorithm. Energy, ISSN 0360-5442. [Print ed.], Dec. 2014, vol. 77, str. 97-107, doi: 10.1016/j.energy.2014.05.004. [COBISS.SI-ID 17881366], [JCR, SNIP, WoS do 20. 1. 2015: št. citatov (TC): 1, čistih citatov (CI): 1, čistih citatov na avtorja (CIAu): 0.20, normirano št. čistih citatov (NC): 1, Scopus do 2. 2. 2015: št. citatov (TC): 2, čistih citatov (CI): 1, čistih citatov na avtorja (CIAu): 0.20, normirano št. čistih citatov (NC): 1] kategorija: 1A1 (Z, A'', A', A1/2); uvrstitev: SCI, Scopus, MBP; tipologijo je verificiral OSICT točke: 32.99, št. avtorjev: 5

• KITAK, Peter, GLOTIĆ, Arnel, TIČAR, Igor. Heat transfer coefficients determination of numerical model by using particle swarm optimization. IEEE transactions on magnetics, ISSN 0018-9464, Feb. 2014, vol. 50, no. 2, str. 1-4, doi: 10.1109/TMAG.2013.2282409. [COBISS.SI-ID 17638678], [JCR, SNIP, WoS do 7. 4. 2014: št. citatov (TC): 0, čistih citatov (CI): 0, čistih citatov na avtorja (CIAu): 0, normirano št. čistih citatov (NC): 0, Scopus do 26. 11. 2014: št. citatov (TC): 0, čistih citatov (CI): 0, čistih citatov na avtorja (CIAu): 0, normirano št. čistih citatov (NC): 0] kategorija: 1A3 (Z); uvrstitev: SCI, Scopus, MBP; tipologijo je verificiral OSICT točke: 26.67, št. avtorjev: 3

• GLOTIĆ, Arnel, GLOTIĆ, Adnan, KITAK, Peter, PIHLER, Jože, TIČAR, Igor. Parallel self-adaptive differential evolution algorithm for solving short-term hydro scheduling problem. IEEE transactions on power systems, ISSN 0885-8950. [Print ed.], Sep. 2014, vol. 29, no. 5, str. 2347-2358, doi: 10.1109/TPWRS.2014.2302033. [COBISS.SI-ID 17576982], [JCR, SNIP, WoS do 29. 9. 2014: št. citatov (TC): 0, čistih citatov (CI): 0, čistih citatov na avtorja (CIAu): 0, normirano št. čistih citatov (NC): 0, Scopus do 2. 2. 2015: št. citatov (TC): 1, čistih citatov (CI): 0, čistih citatov na avtorja (CIAu): 0, normirano št. čistih citatov (NC): 0] kategorija: 1A1 (Z, A', A1/2); uvrstitev: SCI, Scopus, MBP; tipologijo je verificiral OSICT točke: 24.8, št. avtorjev: 5

• KITAK, Peter, GLOTIĆ, Arnel, TIČAR, Igor. Multiobjective optimization of post insulator based on dynamic population size. IEEE transactions on magnetics, ISSN 0018-9464, May 2013, vol. 49, no. 5, str. 2089-2092, doi: 10.1109/TMAG.2013.2240671. [COBISS.SI-ID 16877846], [JCR, SNIP, WoS do 16. 9. 2013: št. citatov (TC): 0, čistih citatov (CI): 0, čistih citatov na avtorja (CIAu): 0, normirano št. čistih citatov (NC): 0, Scopus do 27. 5. 2013: št. citatov (TC): 0, čistih citatov (CI): 0, čistih citatov na avtorja (CIAu): 0, normirano št. čistih citatov (NC): 0] kategorija: 1A3 (Z); uvrstitev: SCI, Scopus, MBP; tipologijo je verificiral OSICT točke: 26.67, št. avtorjev: 3

• KITAK, Peter, GLOTIĆ, Adnan, TIČAR, Igor, PIHLER, Jože. Multiobjective optimization for determination of the electrothermal parameters in switchgear cell housing. IEEE transactions on magnetics, ISSN 0018-9464, May 2011, vol. 47, no. 5, str. 1302-1305, doi: 10.1109/TMAG.2010.2092418. [COBISS.SI-ID 14929430], [JCR, SNIP, WoS do 8. 4. 2014: št. citatov (TC): 2, čistih citatov (CI): 1, čistih citatov na avtorja (CIAu): 0.25, normirano št. čistih citatov (NC): 1, Scopus do 3. 6. 2014: št. citatov (TC): 2, čistih citatov (CI): 1, čistih citatov na avtorja (CIAu): 0.25, normirano št. čistih citatov (NC): 1] kategorija: 1A2 (Z, A1/2); uvrstitev: SCI, Scopus, MBP; tipologijo je verificiral OSICT točke: 22.54, št. avtorjev: 4

http://dx.doi.org/10.1016/j.energy.2014.05.004


http://www.cobiss.si/scripts/cobiss?command=SEARCH&base=jcr&select=%28sc=0360-5442+and+PY=2013%29

http://www.cobiss.si/scripts/cobiss?command=SEARCH&base=snip&select=%28sc=0360-5442+and+PY=2013%29

http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord&UT=000346542500013

http://www.scopus.com/inward/record.url?partnerID=2dRBettD&eid=2-s2.0-84910000469

http://dx.doi.org/10.1109/TMAG.2013.2282409






http://dx.doi.org/10.1109/TPWRS.2014.2302033


















UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Numerične metode v elektrotehniki Course title: Numerical Methods in Electrical Engineering




Semester Semester



Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



30 15 30 105 6 Nosilec predmeta / Lecturer: Mladen Trlep Jeziki / Languages:



Prerequisits:

Osnovno znanje matematike, elektrotehnike in programiranja.

Basic knowledge of mathematics, electrical engineering and programming.

Vsebina:


• Uvod: predstavitev elektrotehniških problemov s poudarkom na matematičnem zapisu problema (električna vezja, prehodni pojavi, elektromagnetno polje, optimizacija naprav) in numeričnem reševanja teh problemov ter programska orodja.

• Reševanje električnih vezij: sistemi linearnih enačb, direktne metode (Gaussova, Choleskega), iteracijske metode (Jacobijeva, Seidlova, SOR, metoda konjugiranih gradientov).

• Reševanje nelinearnih problemov: nelinearne enačbe, iterativne metode (sekantna, tangentna). Sistemi nelinearnih enačb, Newton-Raphsonova metoda.

• Obdelava in procesiranje merjenih vrednosti:

• Introduction: presentation of the electrical engineering problems with the stress on the mathematical description of the problem (electrical circuits, transient phenomena, electromagnetic field, optimization) and on the numerical solving of them. Programme tools.

• Solving of the electrical circuits: systems of linear equations, direct methods (Gauss, Cholesky), iterative methods (Jacobi, Seidel, SOR, Conjugate gradient).

• Solving of the non-linear problems: non-linear equations, iterative methods ( Secant method, Newton method), systems of non-linear equations, Newton-Raphson method.

• Handling and processing of measured values: interpolation (Lagrange, Newton's and Hermite

interpolacija (Lagrangeova, Newtonova, Hermiteova, zlepki), aproksimacija (metoda najmanjših kvadratov, ortogonalnih polinomov), numerično odvajanje (ulomljene končne diference, Richardsonova ekstrapolacija), numerično integriranje (Newton-Cotesove integracijske formule, Gaussova kvadraturna formula, Rombergova formula, večkratni integrali).

• Numerično reševanje prehodnih pojavov: navadne diferencialne enačbe, enokoračne (Eulerjeva, Runge-Kutta) metode, večkoračne (Adams-Bashfort, prediktor-korektor) metode, sistemi diferencialnih enačb.

• Numerično reševanje elektromagnetnega polja: parcialne diferencialne enačbe, metoda končnih in metoda robnih elementov za Laplaceovo,Poissonova in Helmholtzovo enačbo.

• Optimiranje elektromagnetnih naprav: pregled osnovnih metod z in brez omejitev, metode direktnega iskanja, gradientne metode, evolucijska strategija in genetski algoritem.

interpolating polynomials, splines), approximation (Least-Square method, method of orthogonal polynomials), numerical differentiation (finite-divided-difference, Richardson extrapolation), numerical integration (Newton-Cotes integration formulas, Gauss quadrature formula, Romberg, multidimensional integrals).

• Numerical solving of the transient phenomena: ordinary differential equations, one-step (Euler, Runge-Kutta) and multi-step (Adams-Bashfort predictor-corrector) methods, system of differential equations.

• Numerical solving of the electromagnetic field: partial differential equations, Finite element and Boundary element method for the Laplace, Poisson and Helmholtz equation.

• Optimisation of the electromagnetic devices: review of the basic methods with and without the constraints, methods of the direct searching, gradient methods, evolutionary strategies and genetic algorithm.

Temeljni literatura in viri / Readings: • M. Trlep: Numerične metode v elektrotehniki – zbrano gradivo, Univerza v Mariboru, Fakulteta za elektrotehniko,

računalništvo in informatiko, Maribor, 2017. • Steve C. Chapra, R. P. Canale: Numerical Methods for Engineers, McGraw-Hill, Science/Engineering, New York,

2015. • Steve C. Chapra, Applied Numerical Methods with MATLAB for Engineering and Science, McGraw-Hill

Science/Engineering/Math, New York, 2015. • B. Orel: Osnove numerične matematike, Fakulteta za elektrotehniko, UL, Ljubljana, 2005.



Cilj tega predmeta je naučiti študenta uporabe numeričnih pristopov pri reševanju elektrotehniških problemov in mu dati znanje o osnovnih numeričnih metodah in matematičnih programskih orodjih.

The objective of this course is to learn the students to use the numerical approach at solving electrotechnical problems and to give them knowledge about basic numerical methods and mathematical software tools.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati znanje in razumevanje o numeričnih

metodah, • izbrati in uporabiti numerične pristope pri

reševanju različnih elektrotehniških problemov, • uporabiti matematično programsko orodje za

numerično reševanje problemov, • analizirati in ovrednotiti numerične rezultate

Knowledge and understanding: On completion of this course the student will be able to • demonstrate knowledge and understanding the

basic numerical methods • select and apply numerical approaches for

solving different electrical engineering problems,

• apply math software tools for numerical solving

ter sestaviti računalniške algoritme za različne numerične metode.

problems, • analyse and evaluate numerical results and

write computer algorithms for different numerical methods.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: ustni izpit, pisno

izražanje pri pisnem izpitu. • Uporaba informacijske tehnologije: uporaba

matematičnih programskih orodij. • Spretnosti računanja: izvajanje osnovnih

iteracijskih algoritmov. • Reševanje problemov: numerično reševanje

različnih elektrotehničnih problemov. • Delo v skupini: skupinsko reševanje nekaterih

zahtevnejših domačih nalog.


oral examination defence, manner of expression at written examination.

• Use of information technology: use of mathematical software tools.

• Calculation skills: performing basic iterative algorithms.

• Problem solving: numerical solving different electrical engineering problems.

• Working in a group: group solving exacting homework of electrical engineering problems.



• predavanja, • seminar, • seminarske vaje, • računalniške vaje.

• lectures, • seminar, • tutorial, • computer lab work.



Assessment:

• računalniške vaje, • dva testa.

10 90

• computerlab work, • two tests.

Opomba: Testa se lahko nadomestita s pisnim izpitom (40 %) in ustnim izpitom (50 %). Note: Tests may be replaced by written exam (40 %) and oral exam (50 %). Reference nosilca / Lecturer's references: • GABER, Matjaž, PIHLER, Jože, STEGNE, Marjan, TRLEP, Mladen. Flashover condition for a special three-

electrode spark gap design. IEEE transactions on power delivery, ISSN 0885-8977. [Print ed.], Jan. 2010, vol. 25, no. 1, str. 500-507.

• TRLEP, Mladen, JESENIK, Marko, HAMLER, Anton. Transient calculation of electromagnetic field for grounding system based on consideration of displacement current. IEEE transactions on magnetics, ISSN 0018-9464, Feb. 2012, vol. 48, no. 2, str. 207-210.

• JESENIK, Marko, GORIČAN, Viktor, TRLEP, Mladen. Characterisation of crack's dimensions using eddy current field measurement. Nondestructive testing and evaluation, ISSN 1058-9759. [Print ed.], 2013, vol. 28, iss. 2, str. 181-193.

• MOHAMAD NOR, N., TRLEP, Mladen, ABDULLAH, S., RAJAB, R., RAMAR, K. Determination of threshold electric field of practical earthing systems by FEM and experimental work. IEEE transactions on power delivery, ISSN 0885-8977. [Print ed.], Oct. 2013, vol. 28, no. 4, str. 2180-2184.

• NOR, N. Mohamad, TRLEP, Mladen, ABDULLAH, S., RAJAB, R. Investigations of earthing systems under steady-state and transients with FEM and experimental work. International journal of electrical power & energy systems, ISSN 0142-0615. [Print ed.], 2013, vol. 44, iss. 1, str. 758-763.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Optimizacija v elektroenergetiki Course title: Power System Optimization




Semester Semester

Elektrotehnika 2. stopnja Močnostna elektrotehnika 1. ali 2. zimski / poletni

Electrical Engineering 2nd level Power Engineering 1. ali 2. Autumn / Spring


Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work






Prerequisits:

Osnovno znanje matematike, fizike, elektrotehnike in obratovanja ter vodenja elektroenergetskega sistema.

Basic knowledge of mathematics, physics, electrical engineering and power system operation and control.

Vsebina:


• Uvod: zgradba posplošenega elektroenergetskega sistema, elementi elektroenergetskega sistema, vodenje elektroenergetskega sistema, optimizacija elektroenergetskega sistema v časovnem področju, pregled optimizacijskih metod, ki so primerne za optimizacije elektroenergetskega sistema.

• Modeli elektroenergetskega sistema: koncept delovne, jalove in navidezne moči, trifazni sistem in trifazni prenos energije, model sinhronskega stroja, modeli prenosnih vodov in prenosnega omrežja, modeli bremen.

• Optimizacijske metode, primerne za optimiranje nelinearnih in omejenih optimizacijskih problemov v elektroenergetskem sistemu: linearno

• Introduction: structure of generic electric power system, power system elements, power system control, power system optimization in the time domain, review of optimisation techniques applicable to power system.

• Power system models: complex power concepts, three-phase system, per unit representation, synchronous machine model, transmission subsystem, load models.

• Optimization methods appropriate for optimisation of nonlinear constrained problems: linear programming, nonlinear programming, dynamic programming, decomposition method, evolutionary strategies.

• Guidelines for power system optimisations with evolutionary strategies: what is an appropriate structure of the model to be optimized, how to

programiranje, nelinearno programiranje, dinamično programiranje, metode razstavljanja, evolucijske strategije.

• Vodila za optimizacije v elektroenergetskem sistemu z evolucijskimi strategijami: kakšna struktura modela je primerna za optimizacije, kako vpeljemo omejitve, kako definiramo kriterijsko funkcijo, kako vpeljemo kazenske funkcije, kako ovrednotimo kriterijsko funkcijo, kdaj in kako uporabljamo ena ali več kriterijskih funkcij.

• Primeri optimizacij v elektroenergetskem sistemu: optimizacija pretokov energije, optimizacija obratovalnih diagramov različnih proizvodnih enot, minimizacija izgub v prenosnih vodih v primeru uravnoteženega obratovanja, minimizacija prenosnih izgub v distribucijskih vodih v primeru nesimetrij in prisotnosti višjih harmonskih komponent.

define constraints, how to define objective function, how to define penalties, how to evaluate objective function, when and how to use multi and single objective functions.

• Examples of electric power system optimizations: power flow optimization, optimising operational diagrams of different electric energy production units, minimizing losses in transmission lines under balanced operation conditions, Minimizing transmission losses in distribution lines under unbalanced operating conditions and in presence of higher harmonic components.

Temeljni literatura in viri / Readings: • H. Požar: Osnove energetike 1, 2, 3, Školska knjiga, Zagreb, 1992. • J. A. Momoh: Electric Power System Applications of Optimization, Marcel Dekker, New York, 2001. • K. V. Price, R. M. Storn, J. A. Lampinen: Differential Evolution - A Practical Approach to Global

Optimization, Springer, Berlin, 2005. • U. K. Chakraborty, Advances in Differential Evolution, Springer, Berlin, 2008.



Cilj predmeta je naučiti študente uporabljati osnove optimiranja v elektroenergetskem sistemu.

The objective of this course is to learn the students to use the basics of electric power system optimisations.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati znanje in razumevanje s področja

obratovanja in vodenja elektroenergetskega sistema,

• analizirati optimizacijski problem, ga ustrezno matematično opisati in izbrati ustrezno optimizacijsko orodje,

• definirati ustrezno kriterijsko funkcijo, ustrezno izbrati omejitve in kazenske funkcije,

• uporabiti pridobljeno znanje pri različnih optimizacijah v elektroenergetskem sistemu.


power system operation and control, • analyse optimisation problem, mathematically

describe optimisation problem and choose an appropriate optimisation tool,

• define appropriate objective function, constraints and penalties,

• apply acquired knowledge for different kinds of power system optimisations.

Prenosljive/ključne spretnosti in drugi atributi: • Spretnosti komuniciranja: pisno izražanje v

domačih nalogah in poročilu o vajah, predstavitev projekta, ustni zagovor laboratorijskih vaj in vsebine predmeta.

• Uporaba informacijske tehnologije: uporaba programskih orodij za optimizacije v

Transferable/Key skills and other attributes: • Communication skills: manner of expression in

homework and lab work report, project presentation, oral lab work defence and oral examination.

• Use of information technology: use of software tools for power system optimisations.

elektroenergatskem sistemu. • Spretnosti računanja: izračuni odzivov in

različnih obratovalnih stanj elektroenergetskega sistema.

• Reševanje problemov: postavitev optimizacijskega problema, določitev omejitev, kazenskih funkcij in kriterijske funkcije ter izbira ustreznega optimizacijskega orodja.

• Calculation skills: calculation of dynamic responses and different operating states in electric power system.

• Problem solving: defining optimisation problem, constraints, penalties and objective function, and choosing an appropriate optimisation algorithm.



• predavanja, • seminarske vaje, • projekt, • laboratorijske vaje, • reševanje domačih nalog.

• lectures, • tutorial, • project, • lab work, • homework assignments.



Assessment:

• opravljene domače naloge, • laboratorijske vaje, • opravljen projekt, • kolokvij.

25 25 25 25

• completed homework, • lab work, • completed project, • preliminary oral assessment.

Opomba: Kolokvij se lahko nadomesti z ustnim izpitom. Note: The preliminary oral assessment may be replaced with an oral exam. Reference nosilca / Lecturer's references: • MARČIČ, Tine, ŠTUMBERGER, Bojan, ŠTUMBERGER, Gorazd. Differential-evolution-based parameter

Identification of a line-start IPM synchronous motor. IEEE transactions on industrial electronics, Nov. 2014, vol. 61, iss. 11, str. 5921-5929.

• GLOTIĆ, Adnan, PIHLER, Jože, RIBIČ, Janez, ŠTUMBERGER, Gorazd. Determining a gas-discharge arrester model's parameters by measurements and optimization. IEEE transactions on power delivery, Apr. 2010, vol. 25, no. 2, str. 747-754.

• DEŽELAK, Klemen, JAKL, Franc, ŠTUMBERGER, Gorazd. Arrangements of overhead power line phase conductors obtained by Differential Evolution. Electric power systems research, Dec. 2011, vol. 81, iss. 12, str. 2164-2170.

• TOMAN, Matej, ŠTUMBERGER, Gorazd, DOLINAR, Drago. Parameter identification of the Jiles-Atherton hysteresis model using differental evolution. IEEE transactions on magnetics, Jun. 2008, vol. 44, no. 6, str. 1098-1101.

• DEŽELAK, Klemen, ŠTUMBERGER, Gorazd. Seeking the optimal arrangements of overhead power line conductors with conductor sagging consideration. International journal of applied electromagnetics and mechanics, 2013, vol. 42, no. 3, str. 359-368.

UČNI NAČRT PREDMETA / COURSE SYLLABUS

Predmet: Tehnika visokih napetosti in velikih tokov Course title: High Voltage and Large Current Technique




Semester Semester



Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



45 30 105 6 Nosilec predmeta / Lecturer: Jože Pihler Jeziki / Languages:



Prerequisits:

Osnovno znanje matematike, elektrotehnike in električnih naprav v elektroenergetiki.

Basic knowledge of mathematics, electrical engineering and electrical devices in energetic.

Vsebina:


• Električno polje v elektroenergetskih postrojih: analitični izračun enostavnih elektrostatičnih polj, grafično določanje elektrostatičnih polj, numerični postopki izračuna elektrostatičnih polj, merjenje električnih polj, vpliv spremembe oblike naprave na električno polje, načrtovanje električnih naprav s programskimi orodji.

• Izolacijski in obločni mediji v električnih aparatih in napravah.

• Izvori in vrste visokih napetosti med obratovanjem električnih naprav.

• Izvori in vrste velikih tokov med obratovanjem električnih naprav.

• Vrste visokih napetosti in velikih tokov, ki jih je

• Electric field in electrical power installations: analytical calculation of simple electrostatic field, graphically define of electrostatic field, numerical proceeding of electrostatic field calculation, influence of electrical devices shape on electrical field changing, designing of electrical devices with computer program tools.

• Insulation and arc media in electric apparatus and devices.

• Sources and types of high voltages on electrical

devices operation. • Sources and types of large currents on electrical

devices operation. • Types of high voltages and large currents which

potrebno upoštevati pri načrtovanju novih električnih aparatov in naprav in preverjanju že delujočih: zahteve mednarodnih standardov in nacionalne zakonodaje, zahteve trga.

• Naprave za proizvodnjo in merjenje visokih napetosti in velikih tokov.

• Preverjanje zdržljivosti prototipa nove električne naprave: sodelovanje pri razvoju novega izdelka, določitev preskusnih veličin, izvedba preskušanja.

are necessary to consider by designing of new electrical apparatus and devices: requirements of international standards and national legislation, requirements of market.

• Devices for generation and measuring high voltages and large currents.

• Verifying of endurance of new electrical devices prototype: cooperation in research of new product, definition and realization of tests.

Temeljni literatura in viri / Readings: • J. Voršič, J. Pihler: Tehnika visokih napetosti in velikih tokov, Univerza v Mariboru, Fakulteta za

elektrotehniko, računalništvo in informatiko, Maribor, 2005. • Hugh M. Ryan: High Voltage Engineering and Testing, IET,ISBN -13: 978-1849192637, 2013. • W. Hauschild, E. Lemke:High-Voltage Test and Measuring Techniques, Springer 2014. • P. Hasse: Overvoltage Protection of Low Voltage System, The Institution of Electrical Engineers,

London, 2004. Cilji in kompetence:


Cilj predmeta je razumevanje vpliva oblike delov naprave na električno polje, izolacijskimi in gasilnimi mediji in načinom sodelovanja pri načrtovanju in preverjanju zdržljivosti naprav elektroenergetskega sistema.

The objective of this course is to understanding of the influence of device shapes to electric field, insulation media and the way of cooperation in designing and endurance verifying of electrical power system devices.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • izkazati znanje in razumevanje izračunavanja in

merjenja električnih polj, • analizirati in oceniti električna polja glede na

obliko naprave, • načrtovati izvedbo preskusov.


electric field calculating and measuring, • analyse and estimate of electric field regarding

to the shape of devices, • design the realisation of tests.


laboratorijskih vaj. • Uporaba informacijske tehnologije: uporaba

programskih orodij za izračun električnih polj. • Reševanje problemov: samostojna izvedba

preskusa in meritev.

Transferable/Key skills and other attributes: • Communication skills: oral lab work defence. • Use of information technology: use of electric

field calculation software tools. • Problem solving: independent implementation

of tests and measuring.







Assessment:

• testi, • laboratorijske vaje.

60 40

• tests, • lab work.

Opomba: Testi se lahko nadomestijo z ustnim izpitom. Note: The test may be replaced with an oral exam. Reference nosilca / Lecturer's references: • GLOTIĆ, Arnel, GLOTIĆ, Adnan, KITAK, Peter, PIHLER, Jože, TIČAR, Igor. Optimization of hydro energy

storage plants by using differential evolution algorithm. Energy, Dec. 2014, vol. 77, str. 97-107. • RIBIČ, Janez, VORŠIČ, Jože, PIHLER, Jože. Mathematical model of a gas discharge arrester based on

physical parameters. IEEE transactions on power delivery, June 2014, vol. 29, no. 3, str. 985-992. • RIBIČ, Janez, PIHLER, Jože, KITAK, Peter. Impact of electrode shape on the performance of a gas

discharge arrester. IEEE transactions on power delivery, Feb. 2015, vol. 30, no. 1, str. 463-471. • MARUŠA, Robert, VORŠIČ, Jože, PIHLER, Jože. Grounding of an overhead line conductor during work

within the vicinity of high voltage. IEEE trans. power deliv.. [Print ed.], Jul. 2013, vol. 28, no. 3, str. 1847-1854.

• STOPAR, Klemen, KOVAČIČ, Miha, KITAK, Peter, PIHLER, Jože. Electric-arc-furnace productivity optimization = Optimizacija produktivnosti elektroobločne peči. Materiali in tehnologije, jan.-feb. 2014, letn. 48, št. 1, str. 3-7.

UČNI NAČRT PREDMETA / COURSE SYLLABUS Predmet: Zaščita v EES Course title: Power System Protection




Semester Semester



Predavanja Lectures

Seminar Seminar

Vaje Tutorial

Klinične vaje work



40 5 30 105 6 Nosilec predmeta / Lecturer: Bojan Grčar Jeziki / Languages:



Prerequisits:

Osnove električnih strojev, obratovanje in karakteristike elektroenergetskih naprav in omrežij.

Basic courses in electrical machines, operation and characteristics of power system devices and networks.

Vsebina:


• Uvod v relejno zaščito: stanja EES, osnovni principi delovanja relejev, sistemska in posamična zaščita, primarna in rezervna zaščita, elektronski in numerični releji, kriteriji in karakteristike, digitalna obdelava signalov.

• Osnovne zahteve: hitrost delovanja, selektivnost, razpoložljivost in zanesljivost, občutljivost.

• Tokovni in napetostni zaščitni transformatorji: konvencionalni in nekonvencionalni tokovni transformatorji, stacionarne in dinamične karakteristike, vpliv nasičenja, kapacitivni napetostni transformatorji.

• Zaščita rotacijskih strojev in energetskih transformatorjev: primarna in rezervna zaščita, karakteristike in nastavitve.

• Introduction to protective relaying: states of power systems, basic relay operation principles, system and unit protection, primary and back-up protection, solid-state and numerical relays, operating criteria and characteristics, digital processing of power system signals.

• Basic requirement: operation speed, selectivity, availability and reliability, sensitivity.

• Current and voltage protective transformers: conventional and unconventional current transformers, steady-state and dynamic characteristics, effects of saturation, capacitive voltage transformers.

• Rotating machinery protection and power transformer protection: primary and back-up protection, characteristics and settings.

• Zaščita prenosnih vodov: srednjenapetostna in visokonapetostna omrežja, način ozemljevanja, nadtokovna in distančna zaščita.

• Numerična zaščita: značilnosti mikroprocesorskih relejev, tehnike za določitev fazorjev, dinamični fazorji, metode na osnovi ortogonalnih temeljnih funkcij, metoda najmanjših kvadratov, metode za sprotno estimacijo frekvence, diferenčna zaščita s harmonsko stabilizacijo, direktne in indirektne metode za estimacijo kratkostične impedance, signalne metode.

• Praktično delo: izračun prehodnih stanj in okvar v EES, simulacijska orodja, modeliranje zaščitnih relejev, sekundarno preizkušanje zaščitnih relejev.

• Transmission lines protection: medium and high voltage networks, system grounding, over-current and distance protection.

• Numerical relaying: characteristics of microprocessor based relays, phasor estimation techniques, dynamic phasors, orthogonal base functions methods, least square methods, on-line frequency estimation, differential protection with harmonic restraint, direct and indirect fault impedance estimation techniques, signal based methods.

• Experimental work: power system transients calculation, simulation tools, modelling of protection relays, secondary relay testing.

Temeljni literatura in viri / Readings: • B. Grčar: Uvod v zaščito elementov EES, Univerza v Mariboru, Fakulteta za elektrotehniko,

računalništvo in informatiko, Maribor,1999. • A.G. Phadke,J.S. Thorp: Computer Relaying for Power Systems, Wiley, 2009. • G. Ziegler: Digitaler Distanzschutz, Siemens, 2008. • Paithankar Y. G.,Yeshwant G. ,S. R. Bhide: Fundamentals of Power System Protection, PHI, 2010. • J. L. Blackburn: Protective Relaying, Marcel Dekker, New York, 1998.



Seznaniti študente s problematiko okvar v EES, njihovimi posledicami ter metodami in napravami za zaščito.

To acquaint students with the problem of faults in power systems, their consequences, and with the methods and devices for protection.



Znanje in razumevanje: Po zaključku tega predmeta bo študent sposoben • razumeti vzroke za nastanek okvar v EES in

njihove posledice, • izbrati in parametrizirati ustrezne zaščitne

releje in sestave, • uporabljati programska orodja za izračun okvar

in prehodnih stanj v EES in • razumeti delovanje numerične zaščite in

uporabljati različne metode signalnega procesiranja v EES.

Knowledge and understanding: On completion of this course the student will be able to • understand causes for faults in power systems

and their consequences, • choose and set appropriate protective relays

and systems, • use programme tools for power system

transients and faults calculation and • understand operation of digital relays and to

use different signal processing methods for power systems.

Prenosljive/ključne spretnosti in drugi atributi: • Uporaba informacijske tehnologije:

programska orodja za analizo EES, programska

Transferable/Key skills and other attributes: • Use of information technology: programme

tools for power system analysis, programme

orodja za sekundarno preizkušanje relejev. • Spretnosti računanja: metode signalne analize,

metode za izračun prehodnih stanj in okvar. • Reševanje problemov: obratovanje EES,

interdisciplinarni pristop. • Delo v skupini: eksperimentalno delo v majhnih

skupinah.

tools for secondary relay testing. • Calculation skills: signal analysis methods,

methods for transients and faults calculation. • Problem Solving: power system operation,

interdisciplinary approach. • Working in a group: experimental work in small

groups. Metode poučevanja in učenja:


• predavanja, • seminarske vaje, • laboratorijske vaje, • seminar.

• lectures, • seminar work, • lab work, • seminar.



Assessment:

• laboratorijske vaje, • test, • opravljeno seminarsko delo.

20 40 40

• lab workreport, • test, • completed seminar.

Opomba: Test se lahko nadomesti z ustnim izpitom. Note: The test may be replaced with an oral exam. Reference nosilca / Lecturer's references: • GRČAR, Bojan, ŠTUMBERGER, Gorazd, HOFER, Anton, CAFUTA, Peter. Im torque control schemes

based on stator current vector. IEEE transactions on industrial electronics, Jan. 2014, vol. 61, iss. 1, str. 126-138.

• GRČAR, Bojan, HOFER, Anton, CAFUTA, Peter, ŠTUMBERGER, Gorazd. A contribution to the control of the non-holonomic integrator including drift. Automatica, Nov. 2012, vol. 48, iss. 11, str. 2888-2893.

• GRČAR, Bojan, CAFUTA, Peter, ŠTUMBERGER, Gorazd, STANKOVIĆ, Aleksandar M., HOFER, Anton. Non-holonomy in induction machine torque control. IEEE transactions on control systems technology, Mar. 2011, vol. 19, no. 2, str. 367-375.

• GRČAR, Bojan, RITONJA, Jožef, POLAJŽER, Boštjan, STANKOVIĆ, A. M. Estimation methods using dynamic phasors for numerical distance protection. IET generation, transmission & distribution, May 2008, vol. 2, iss. 3, str. 433-443.

• GRČAR, Bojan, HOFER, Anton, ŠTUMBERGER, Gorazd, CAFUTA, Peter. Induction machine torque control with self-tuning capabilities. Mechanics and model-based control of advanced engineering systems. Wien: Springer, 2014, str. 145-153.

Documents

2. stopnja MAG cycle Academic undergraduate progami 2stopnja... · Predmet: Energetska elektronika Course title: Power Electronics Študijski program in stopnja Study programme and