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MAHATMA GANDHI UNIVERSITY
SCHEME AND SYLLABI
FOR
M. Tech. DEGREE PROGRAMME
IN
ELECTRICAL AND ELECTRONICS ENGINEERING
WITH SPECIALIZATION IN
INDUSTRIAL DRIVES AND CONTROL
(2011 ADMISSION ONWARDS)
1
SCHEME AND SYLLABI FOR M. Tech. DEGREE PROGRAMME IN ELECTRICAL AND ELECTRONICS
ENGINEERING WITH SPECIALIZATION IN INDUSTRIAL DRIVES AND CONTROL
SEMESTER - I
Sl. No.
Course No. Subject
Hrs / Week Evaluation Scheme (Marks)
Credits (C) L T P
Sessional ESE Total
TA CT Sub Total
1 MEEID 101 Advanced Mathematics 3 1 0 25 25 50 100 150 4
2 MEEID 102 Analysis of Power Electronic Systems I 3 1 0 25 25 50 100 150 4
3 MEEID 103 Dynamics of Electrical Machines 3 1 0 25 25 50 100 150 4
4 MEEID 104 Electric Drives 3 1 0 25 25 50 100 150 4
5 MEEID 105 Elective – I 3 0 0 25 25 50 100 150 3
6 MEEID 106 Elective – II 3 0 0 25 25 50 100 150 3
7 MEEID 107 Power Electronics Lab 0 0 3 25 25 50 100 150 2
8 MEEID 108 Seminar – I 0 0 2 50 0 50 0 50 1
Total 18 4 5 225 175 400 700 1100 25
L – Lecture, T – Tutorial, P – Practical
TA – Teacher’s Assessment (Assignments, attendance, group discussion, Quiz, tutorials, seminars, etc.)
CT – Class Test (Minimum of two tests to be conducted by the Institute)
ESE – End Semester Examination to be conducted by the University
Electives: New Electives may be added by the department according to the needs of emerging fields of technology. The name of the elective and its syllabus should be submitted to the University before the course is offered.
Elective – I (MEEID 105) Elective – II (MEEID 106)
MEEID 105 - 1 Systems Theory MEEID 106 - 1 Optimal Control Theory
MEEID 105 -2 Optimization Techniques MEEID 106 - 2 Stochastic Modeling And Applications
MEEID 105 - 3 Digital Simulation of Power Electronic Systems MEEID 106 – 3 Advanced Power Semiconductor Devices
MEEID 105 - 4 Estimation Theory MEEID 106 - 4 Computer Aided Design of Electrical Machines
2
SEMESTER - II
Sl. No.
Course No. Subject
Hrs / Week Evaluation Scheme (Marks)
Credits (C) L T P
Sessional ESE Total
TA CT Sub Total
1 MEEID 201 Advanced Control of AC Drives 3 1 0 25 25 50 100 150 4
2 MEEID 202 Digital Control Systems 3 1 0 25 25 50 100 150 4
3 MEEID 203 Analysis of Power Electronic Systems II 3 1 0 25 25 50 100 150 4
4 MEEID 204 Special Electrical Machines and Drives 3 1 0 25 25 50 100 150 4
5 MEEID 205 Elective – III 3 0 0 25 25 50 100 150 3
6 MEEID 206 Elective – IV 3 0 0 25 25 50 100 150 3
7 MEEID 207 Electric Drives Laboratory 0 0 3 25 25 50 100 150 2
8 MEEID 208 Seminar – II 0 0 2 50 0 50 0 50 1
Total 18 4 5 225 175 400 700 1100 25
Elective – III (MEEID 205) Elective – IV (MEEID 206)
MEEID 205 - 1 Adaptive Control MEEID 206 - 1 Embedded Controllers
MEEID 205 – 2 Soft Computing techniques MEEID 206 – 2 Flexible AC Transmission Systems (FACTS)
MEEID 205 – 3 Robotics and Automation MEEID 206 – 3 Power Electronics Applications in Power Systems
MEEID 205 - 4 Power Quality MEEID 206 - 4 Digital Signal Processing
L – Lecture, T – Tutorial, P – Practical
TA – Teacher’s Assessment (Assignments, attendance, group discussion, Quiz, tutorials, seminars, etc.)
CT – Class Test (Minimum of two tests to be conducted by the Institute)
ESE – End Semester Examination to be conducted by the University
Electives: New Electives may be added by the department according to the needs of emerging fields of technology. The name of the elective and its syllabus should be submitted to
the University before the course is offered.
3
SEMESTER - III
Sl. No. Course No. Subject
Hrs / Week Evaluation Scheme (Marks)
Credits (C) L T P
Sessional ESE** (Oral) Total
TA* CT Sub Total
1 MEEID 301 1. Industrial Training OR 2. Industrial Training and Mini Project
0 0 20 50 0 50 100 150 10
2 MEEID 302 Master’s Thesis Phase - I 0 0 10 100*** 0 100 0 100 5
Total 0 0 30 150 0 150 100 250 15
* TA- based on technical report submitted together with a presentation at the end of the industrial training.
** Industrial Training and miniproject evaluation will be conducted at end of the third semester for Industrial Training by a panel of examiners, with at least one external examiner, constituted by the university.
*** The marks will be awarded by a panel of examiners constituted by the concerned institute
SEMESTER - IV
Sl. No. Course No. Subject
Hrs / Week Evaluation Scheme (Marks)
Credits (C) L T P
Sessional ESE** (Oral
& Viva)
Total TA* CT Sub
Total
1 MEEID 401 Thesis Evaluation 0 0 30 100 0 100 100 200 15
2 MEEID 402 Master’s Comprehensive Viva 100 100
Total 300 15
Grand Total of all Semesters 2750 80
* 50%of the marks to be awarded by the project guide and the remaining 50% to be awarded by a panel of examiners, including project guide, constituted by the department.
** Thesis evaluation and Viva-voce will be conducted at end of the fourth semester by a panel of examiners, with at least one external examiner, constituted by the university.
4
MEEID 101
ADVANCED MATHEMATICS
L T P C 3 1 0 4
Module 1: Complex Variables and Partial Differential Equations
Cauchy’s integral formula, Poisson’s integral formula, Liovilli’s Theorem, Conformal
Transformation, Schwarz-Christoffels transformation, Partial differential equation-Laplace
equation in two dimension(Cartesian and polar), Boundary Value Problems, Green’s
Theorem.
Module 2: Functional Analysis
Definition of Vector spaces – examples - somorphism of vector spaces - Linear
independence and basis. Dimension of vector space - Fundamentals of Normed linear
spaces - Basic concept of linear transformations.
Module 3: Random Processes
Probability concepts - Variables and distribution function - PDF, Markov Chains –
Stochastic Processes – Characteristics - Markov Processes – Correlation - Auto
Correlation – Cross Correlations – Response of linear discrete time systems to white noise
Module 4: Introduction to Mathematical Programming
Non Linear Programming Problems - Unconstrained optimization, optimality criteria,
Direct Search Methods: Hooke-Jeeves Pattern Search, Powel’s conjugate direction
method. Gradient based methods: steepest descent method - Newton’s method,
Constrained optimization: Lagrange multiplier - Kuhn Tucker conditions.
References:
1. Erwin Kreyszig, Introductory Functional Analysis with Applications, John Wiley &
Sons, 2004.
2. A Papoulis, Probability, Random Variables and Stochastic Processes, 3rd edition, Mc-
Graw Hill.
3. Kalyanmoy Deb, Optimization for Engineering Design, PHI-2002.
4. Simmons D M, Non Linear Programming for Operations Research, PHI.
5. Elsgoltis, Differential Equations and Calculus of Variations, MIR publication.
5
6. Ochi M K, Applied Probability and Stochastic Processes, John Wiley & Sons, 1992.
7. D G Luenberger, Optimization by Vector Space Method, John Wiley.
8. B S Grewal, Higher Engineering Mathematics, Khanna Publishers.
6
MEEID 102
ANALYSIS OF POWER ELECTRONIC SYSTEMS I L T P C 3 1 0 4
Module 1: Overview of Devices
Ideal and Real switches, static and dynamic performance, loss calculation and selection of
heat sink. Power diodes, Power Transistors, Power MOSFETS, IGBTs, Thyristor, GTO-
Static and Dynamic Performance, Driver circuits. Turn on; Turn off and over voltage
Snubbers for switching devices.
Rectifiers: Uncontrolled rectifiers-Single phase and Three phase- Analysis with R and RL
loads, Analysis with capacitive filter- Line current Distortion, THD, DPF, PF, Line voltage
distortion - effect of source inductance- Effect of Single Phase Rectifiers on Neutral
Currents in a Three Phase Four-Wire System. Controlled Rectifiers-Single phase and
Three phase-fully controlled and semi controlled-Analysis with RL, RLE loads-
Performance, Voltage conversion ratio, Effect of source inductance- Power factor –
Inversion mode of operation - Dual converters- Circulating and Non circulating-
Applications.
Module 2: DC Choppers
Principle of operation, two quadrant and four quadrant choppers, PWM control- Forced
commutation- Voltage and Current commutated choppers -effect of source inductance-
filter circuits –multiphase chopper.
Module 3: AC voltage controllers and Cycloconverters
Single Phase and Three phase AC Voltage Controllers-Principle operation-analysis with R
and RL loads, Thyristor Controlled Inductor, Circulating and Noncirculating type
cycloconverters- Analysis with R and RL loads.
Module 4: Inverters
Half Bridge and Full Bridge-Six Steps and Two Levels PWM. Analysis with delta and Y
connected RL loads- Harmonics and Voltage control in inverters-Sine triangle modulation-
Unipolar and Bipolar modulation-Selective harmonic elimination- output filter design-
Resonant inverters-series and parallel. Current source inverter-Single phase and Three
phase. Multilevel Inverters-Types.
7
References:
1. Joseph Vithayathil, Principles of Power Electronics, McGrawHill-1994
2. William Shepherd, Li Zhang., Power Converter Circuits, Marcell Dekker, 2004
3. Ned Mohan, Undeland, Robbins, Power Electronics-3rd edn, John Wiley, 2003
4. Philip T Krein, Elements of Power Electronics- Oxford, 1998
5. Issa Batarseh, Power Electronics Circuits, John Wiley, 2004
6. Cyril W Lander, Power Electronics, Third Edition, McGraw-Hill- 1993
7. Daniel W. Hart, Introduction to Power Electronics, Prentice Hall, 1997
8
MEEID 103 DYNAMICS OF ELECTRICAL MACHINES
L T P C 3 1 0 4
Module 1:
Introduction – Unified approach to the analysis of electrical machine – basic two-pole
machine – Kron’s primitive machine – voltage, power and torque equation –linear
transformation from 3-phase to 2-phase - transformation from rotating axes to stationary
axes – power invariance – park’s transformation for 3-phase synchronous and induction
machines.
Module 2:
DC machines – application of generalized theory to separately excited, shunt, series and
compound machines – sudden short circuit of separately excited generator - separately
excited dc motor - steady state and transient analysis – transfer functions of separately
excited dc generator & motor.
Module 3:
Polyphase synchronous machines – generalized machine equations – steady state analysis
of salient pole and non salient pole machines – phasor diagrams – power angle
characteristics – reactive power – short circuit ratio – transient analysis – sudden 3-phase
short circuit at generator terminals – reactance – time constants – transient power angle
characteristics.
Module 4:
Induction machines – 3-phase induction machine- generalized model – voltage equation –
steady state analysis – equivalent circuit – torque-slip characteristics – effect of voltage
and frequency variations – electric transients in induction machines – speed control of
induction motor – introduction to vector control – applications in speed control of
induction machine – single phase induction motor – generalized model – voltage and
torque equations – steady state analysis.
References:
1. PS. Bhimbra, Generalized Theory of Electrical Machines, Khanna Publishers
9
2. Krauss, Wasyncsuk and Sudholf, Analysis of Electrical Machines and Drive Systems,
John Wiley
3. A E Fitzgerald, Kingsley, Umans, Electric Machinery, McGraw Hill
4. Adkins and Harley, General Theory of AC Machines
5. Bimal K Bose, Modern Power Electronics & AC Drives, Pearson Education
10
MEEID 104
ELECTRIC DRIVES
L T P C 3 1 0 4
Module 1:
Components of electrical Drives – electric machines, power converter, controllers -
dynamics of electric drive - torque equation - equivalent values of drive parameters-
components of load torques types of load - four quadrant operation of a motor –– steady
state stability – load equalization – classes of motor duty- determination of motor rating
Module 2:
DC motor drives – dc motors & their performance (shunt, series, compound, permanent
magnet motor, universal motor, dc servomotor) – braking – regenerative, dynamic braking,
plugging –Transient analysis of separately excited motor – converter control of dc motors
– analysis of separately excited & series motor with 1-phase and 3-phase converters – dual
converter –analysis of chopper controlled dc drives – converter ratings and closed loop
control – transfer function of self, separately excited DC motors – linear transfer function
model of power converters – sensing and feeds back elements – current and speed loops,
P, PI and PID controllers – response comparison – simulation of converter and chopper fed
DC drive
Module 3:
Induction motor drives – stator voltage control of induction motor – torque-slip
characteristics – operation with different types of loads – operation with unbalanced source
voltages and single phasing – analysis of induction motor fed from non-sinusoidal voltage
supply – stator frequency control – variable frequency operation – V/F control, controlled
current and controlled slip operation – effect of harmonics and control of harmonics –
PWM inverter drives – multiquadrant drives – rotor resistance control – slip torque
characteristic – torque equations, constant torque operation – slip power recovery scheme
– torque equation – torque slip characteristics – power factor – methods of improving
power factor – limited sub synchronous speed operation – super synchronous speed
operation.
11
Module 4:
Synchronous motor drives – speed control of synchronous motors – adjustable frequency
operation of synchronous motors – principles of synchronous motor control – voltage
source inverter drive with open loop control – self controlled synchronous motor with
electronic commutation – self controlled synchronous motor drive using load commutated
thyristor inverter.
References:
1. R. Krishnan, Electrical Motor Drives, PHI-2003
2. G.K.Dubey, Power semiconductor controlled drives, Prentice Hall- 1989
3. G.K.Dubey, Fundamentals of Electrical Drives, Narosa- 1995
4. S.A. Nasar, Boldea , Electrical Drives, Second Edition, CRC Press - 2006
5. M. A. ElSharkawi , Fundamentals of Electrical Drives , Thomson Learning -2000
6. W. Leohnard, Control of Electric Drives,-Springer- 2001
7. Murphy and Turnbull, Power Electronic Control of AC motors, Pergamon Press
8. Vedam Subrahmaniam, Electric Drives, TMH-1994
12
MEEID 105-1 SYSTEMS THEORY
L T P C 3 0 0 3
Module 1:
State variable representation of system - concept of state - Equilibrium points – Stability -
Solution of state equation - eigen values - eigen vectors – modes - modal decomposition -
eigen value and stability - State space representation of discrete time systems -
Discretization of continuous time state equation
Module 2:
Lyapunov stability - definition of stability, asymptotic stability and instability -
Lyapunov’s second method - Lyapunov’s stability analysis of LTI continuous time and
discrete time systems - stability analysis of non linear system - Krasovski’s theorem -
variable gradient method
Module 3:
Concepts of controllability and observability - controllability and observability tests for
continuous time and discrete time systems - controllability and observability studies based
on canonical forms of state model - effect of state feedback on controllability and
observability - pole placement by state feedback for continuous and discrete time systems -
Design of full order and reduced order observer for continuous time and discrete time
systems
Module 4:
Optimal control - formulation of optimal control problem - Minimum time control problem
-minimum energy problem - minimum fuel problem - state regulator problem - output
regulator problem – tracking problem - choice of performance measure - optimal control
based on quadratic performance measure – optimal control system design using second
method Lyapunov - solution of reduced Riccatti equation.
Robust control systems – introduction - sensitivity analysis of robustness - system with
uncertain parameters - design of robust PID controlled systems.
13
References:
1. Thomas Kailath, Linear systems, Prentice Hall Inc
2. K.Ogata, Modern control Engg (Second Edition), Prentice Hall Inc, 1990
3. K.Ogata, Discrete time control systems, P.H.I
4. M.Gopal, Digital Control and State Variable methods, TMH, 1997
5. M.Gopal, Modern Control System Theory
6. C.T.Chen, Linear system theory and design, New York,Holt Rinechart and Winston ,
1984
7. Richard.C.Dorf and R.T Bishop, Modern Control System, P.H.I
14
MEEID 105-2
OPTIMIZATION TECHNIQUES
L T P C 3 0 0 3
Module 1: Linear programming
Statement and classification of optimization problems overview of optimization techniques
standard form of linear programming problems-Definitions and theorems-Simplex
method-Revised simplex method-Duality and Dual simplex method-Sensitivity analysis.
Module 2: Unconstrained dimensional optimization techniques
Necessary and sufficient conditions-search methods(unrestricted Fibonacci and golden)-
Interpolation methods(Quadratic, Cubic and direct root method).Direct search methods-
Random search-pattern search and Rosen Brock’s hill climbing method-Descent methods-
Steepest descent, conjugate gradient, Quasi Newton and DFE method.
Module 3: Constrained optimization techniques & dynamic programming
Necessary and sufficient conditions-Equality and inequality constraints-Kuhn-Tacker
conditions-Gradient projection method-cutting plane method-Penalty function method
(Interior and exterior).Principle of optimality-recurrence relation-Computation procedure-
continuous dynamic programming.
Module 4: Recent developments in optimization techniques
Rosenbrocks Rotating Coordinate Method-Tabu search-Simulated Annealing-Genetic
Algorithm-Particle Swarm Optimization –Ant colony Optimization-Bees Algorithm.
References:
1. Rao S.S, Optimisation:Theory and Application, Wiley Eastern Press
2. Pierre, D.A., Optimisation, Theory with Applications, John Wiley & Sons
3. Fox, R.L., Optimisation method for Engineering Design, Addison Wesley
4. Hadely,G., Linear Programming, Addison Wesley
5. Bazaara & Shetty, ‘Non-linear Programming’
6. D.E. Goldberg, Genetic Algorithm in Search, Optimization, and Machine Learning,
Addison-Wesly, 1989.
7. Marco Dorigo, Vittorio Miniezza and Alberto Colorni, “Ant System:Optimization by a
colony of Cooperation Agent”, IEEE transaction on system man and Cybernetics-Part
B:cybernetics, Volume 26, No 1, pp. 29-41,1996.
15
8. Shi, Y. Eberhart, R.C., “A Modified Particle Swarm Optimizer”, Proceedings of the
IEEE International conference on Evolutionary Computation, Anchorage, AK, pp. 69-
73, May 1998
9. Recent literature should also be referred
16
MEEID 105-3 DIGITAL SIMULATION OF POWER
ELECTRONIC SYSTEMS L T P C 3 0 0 3
Module 1: Modeling Principles of Modeling Power Semiconductor Devices - Macro models versus Micro models -
Thyristor model - Semiconductor Device modeled as Resistance, Resistance-Inductance and
Inductance-Resistance-Capacitance combination - Modeling of Electrical Machines – Modeling of
Control Circuits for Power Electronic Switches.Analog Video and PAL / NTSC Systems,
Space-Time Sampling, Video Processing Applications. Conversion from Interlaced to
Progressive, Conversion of Frame-Rate. Video Filtering by Motion Compensation, Noise
Reduction and Restoration in Videos. Object Following, Error Resiliency, Video Digital
Signature.
Module 2: Computer Formulation of Equations for Power Electronic Systems
Review of graph theory as applied to Electric networks- Systematic method of
Formulating State Equations - Computer Solution of State Equations - Explicit Integration
method - Implicit Integration method.
AC equivalent circuit modeling: Basic AC modeling approach-State space averaging-
circuit Averaging and averaged switch modeling- Modeling the PWM.
Module 3: Circuit Analysis using ORCAD- PSpice
Simulation Overview - Creating and Preparing a Circuit for Simulation - Simulating a
Circuit with PSpice - Simple Multi-run Analyses -Statistical Analyses - Simulation
Examples of Power Electronic systems- Creating Symbols -Creating - Models - Analog
Behavioral Modeling - Setting Up and Running analyses – Viewing Results - Examples of
Power Electronic Systems.
Module 4: Circuit Analysis using MATLAB
Dynamic modeling and simulation of DC-DC converters using MATLAB-Simulation of
State Space Models. Modeling and simulation of inverters using MATLAB
17
References:
1. V Rajagopalan, Computer Aided Analysis of Power Electronic Systems, Marcel
Dekker, Inc., 1987.
2. Erickson, Maksimovic, Fundamentals of Power Electronics - 2nd edition, Springer,
2001.
3. Randall Shaffer, Fundamentals of Power Electronics with MATLAB, Firewall Media,
India, 2007.
4. Mohan, Undeland, Robbins, Power Electronics, 3rd edition, John Wiley, 2003.
5. Jai P Agrawal, Power Electronic Systems-Theory and Design, Pearson- 2001.
6. ORCAD PSpice Basics: Circuit Analysis Software, User's Guide, ORCAD
Corporation.
18
MEEID 105-4
ESTIMATION THEORY L T P C 3 0 0 3
Module 1: Elements of Probability Theory
Random variables-Gaussian distribution-stochastic processes-characterizations and
properties- Gauss-Markov processes-Brownian motion process-Gauss-Markov models
Module 2: Optimal Estimation for Discrete-time Systems
Fundamental theorem of estimation-optimal prediction
Module 3: Optimal Filtering
Weiner approach-continuous time Kalman Filter-properties and implementation-steady-
state Kalman Filter-discrete-time Kalman Filter-implementation-sub-optimal steady-state
Kalman Filter-Extended Kalman Filter-practical applications
Module 4: Optimal Smoothing
Optimal fixed-interval smoothing, optimal fixed-point smoothing, optimal fixed-lag
smoothingstability- performance evaluation
References:
1. James S Meditch, Stochastic Optimal Linear Estimation and Control, McGraw-Hill,
New York, 1969.
2. Jerry M Mendel ‘Lessons in Estimation Theory for Signal processing, Communication,
and Control, Prentice-Hall Inc, New Delhi, 1995.
3. Mohinder S Grewal, Angus P Andrews, Kalman Filtering; Theory and
Practice,Prentice-Hall Inc, Englewood Cliffs, 1993.
4. Grimble M J, M A Johnson, Optimal Control and Stochastic Estimation; Theory and
Applications, Wiley, New York, 1988.
5. Peter S Meybeck, Stochastic Models, Estimation, and Control, Volume 1 & 2,
Academic Press, New York, 1982.
6. Papoulis Athanasios, Probability, Random Variables, and Stochastic Process, 2nd
Edition, McGraw-Hill, New York, 1984.
7. Frank L Lewis, Optimal Estimation, Wiley, New York, 1986.
8. Mcgarty J P, Stochastic Systems and State Estimation, John Wiley, New York, 1974.
19
MEEID 106-1
OPTIMAL CONTROL THEORY
L T P C 3 0 0 3
Module 1: Optimality Problems in Control Theory
Mathematical models-selection of performance measures-constraints-classification of
problem constraints-problem formulation
Module 2: Dynamic Programming
Optimal Control Law-Principle of Optimality-application to decision making-routing
problem-Hamilton Jacobi Bellman equation-Discrete and continuous Linear Regulator
Problems
Module 3: Calculus of Variations
Basic Concepts-variation of functional – extremals-fudamental theorem in calculus of
variation-Euler Equation-Piecewise Smooth extremals-constrained extrema- Hamiltonian-
necessary condition for optimal control
Module 4: Pontryagin’s Minimum Principle
Minimum Time problem-Minimum Fuel problem-Minimum Energy problem
Case Studies
References:
1. Donald E Kirk, Optimal Control Theory-An Introduction, Prentice-Hall
Inc,Englewood Cliffs, New Jersy,1970.
2. Athans M and P L Falb,Optimal Control-An Introduction to the Theory and its
Applications, McGraw Hill Inc,New York, 1966
3. Sage A P,Optimum Systems Control, Prentice –Hall Inc Englewood Cliffs, New
Jersey, 1968
4. Brian D O Anderson, John B Moore, Optimal Control- Linear Quadratic Methods,
Prentice-Hall Inc,NewDelhi,1991
20
MEEID 106-2 STOCHASTIC MODELING AND APPLICATIONS
L T P C 3 0 0 3
Module 1: Dynamic Systems and Their Characteristics
Stochastic processes in dynamic systems-probability space –random variables-random
processes-expectation-moments-characteristic functions-fictional-canonic expansion
independent and conditional probabilities
Module 2: Random Processes
Brownian motion process-Gaussian process-Markov process-Wiener process-mean square
calculus-second order process-Martingale
Module 3: Stochastic Integrals
Spectral and integral canonical representations-itô integral-itô differentials-itô stochastic
calculus
Module 4: General Theory of Stochastic Systems and its Applications
Methods of linear stochastic systems theory and applications-methods of general non-
linear stochastic systems theory and applications
References:
1. V S Pugachev, I N Sinitsyn {Russian Academy of Sciences}, Stochastic Systems –
Theory and Applications, World Scientific Publishing, 2002.
2. Fima C Klabaner, Introduction to Stochastic Calculus with Applications, Imperial
College Press, 2001.
3. Papoulis Athanasios, probability, random variables, and Stochastic process, 2ndEdition,
McGraw- Hill, New York, 1984.
4. Frank L Lewis, Applied Optimal control & Estimation, Prentice-hall, Englewood
Cliffs, New Jersey, 1992.
5. Peter s Meybeck, Stochastic Models, Estimation, and Control, Volume 1&2, Academic
Press, New York, 1982.
6. Parzen E, Stochastic Process, Holden bay, San Francisco, 1962.
21
7. Astrom K J, Introduction to Stochastic Control Theory, Academic Press, NewYork,
1970.
22
MEEID 106-3 ADVANCED POWER SEMICONDUCTOR DEVICES
L T P C 3 0 0 3
Module 1: Introduction
Power switching devices overview – Attributes of an ideal switch, application
requirements, circuit symbols; Power handling capability – (SOA); Device selection
strategy – On-state and switching losses – EMI due to switching - Power diodes - Types,
forward and reverse characteristics, switching characteristics – rating. Shottky Diode
Module 2: Current Controlled Devices
BJT’s – Construction, Device Physics, static characteristics, switching characteristics;
Negative temperature co-efficient and secondary breakdown; Power Darlington -
Thyristors – Physical and electrical principle underlying operation, Gate and switching
characteristics; converter grade and inverter grade and other types; series and parallel
operation; comparison of BJT and Thyristor – steady state and dynamic models of BJT &
Thyristor.
Module 3: Voltage Controlled Devices
Power MOSFETs and IGBTs – Principle of voltage controlled devices, construction,
types, Device physics, Static and Switching Characteristics- Steady state and dynamic
models of MOSFET and IGBTs - Basics of GTO, MCT, FCT, RCT and IGCT.
Module 4: Firing and Protection Circuits
Necessity of isolation, pulse transformer, optocoupler – Gate drives circuit: SCR,
MOSFET,IGBTs and base driving for power BJT. Over voltage, over current and gate
protections; Designof snubbers. Thermal Protection:Heat transfer – conduction,
convection and radiation; Cooling – liquid cooling, vapour – phasecooling; Guidance for
hear sink selection – Thermal resistance and impedance -Electrical analogyof thermal
components, heat sink types and design – Mounting types.
References:
1. Kassakian J G et al, Principles of Power Electronics, Addison Wesley, 1991.
23
2. B W Williams, Principles and Elements of Power Electronics, University of
Strathclyde,Glasgow, 2006.
3. Mohan, Undeland, Robins, Power Electronics – Concepts, Applications and Design,
John Wiley and Sons, Singapore, 2000.
4. M D Singh, K B Khanchandani, Power Electronics, Tata McGraw Hill, 2001.
24
MEEID 106-4
COMPUTER AIDED DESIGN OF ELECTRICAL MACHINES
L T P C 3 0 0 3
Module 1: Introduction
Computer aided design of electrical machines - Conventional design procedures - Analysis
and synthesis methods - Limitations - Need for field analysis based design.
Module 2: Mathematical Formulation of Field Problems
Development of torque/force - Electromagnetic Field Equations - Magnetic Vector/Scalar
potential - Electrical Vector/Scalar potential - Stored energy in field problems –
Inductances - Laplace and Poisson's Equations - Energy functional - Principle of energy
conversion.
Module 3: Philosophy of FEM
Mathematical Models - Differential/Integral equations - Finite Difference method – Finite
Element Method - Energy minimization - Variational method - 2D Field problems -
Discretisation- Shape functions - Stiffness matrix - Solution techniques.
Module 4: CAD Packages
Elements of a CAD System - Preprocessing - Modeling - Meshing -Material properties -
Boundary Conditions - Setting up solution - Postprocessing.Design Applications-Design
of Solenoid Actuator - Induction Motor - Switched Reluctance Motor – Synchronous
Machines.
References:
1. S J Salon, Finite Element Analysis of Electrical Machines, Kluwer Academic
Publishers, London, 1995.
2. Chee-Mun Ong, Dynamic Simulations of Electric Machinery: Using
MATLAB/SIMULINK,Prentice Hall, 1998.
3. Vlado Ostovic, Computer Aided Analysis of Electric Machines, Prentice Hall
International (UK) Ltd, 1994.
4. Silvester and Ferrari, Finite Elements for Electrical Engineer, Cambridge University
Press, 1983.
5. S R H Hoole, Computer-Aided, Analysis and Design of Electromagnetic Devices,
Elsevier, New York, Amsterdam, London, 1989.
25
6. D A Lowther, P P Silvester, Computer Aided Design in Magnetics, Springer Verlag,
New York.
7. M Ramamoorthy, Computer Aided Design of Electrical Equipments, Affiliated East
West Press.
8. C W Trowbridge, An Introduction to Computer Aided Electromagnetic Analysis,
Vector Field Ltd.
9. User Manuals of Software Packages like MAGNET, ANSOFT& ANSYS.
26
MEEID 107
POWER ELECTRONICS LABORATORY
L T P C 0 0 3 2
LIST OF EXPERIMENTS:
1. Firing schemes for converters.
2. Single Phase Semi-converter with R-L and R-L-E loads for continuous and
discontinuous conduction modes.
3. Single phase full- converter with R-L and R-L-E loads for continuous and
discontinuous conduction modes.
4. Three phase full-converter with R-L-E load.
5. Controlled and Uncontrolled rectifier with different types of filters-continuous. and
discontinuous modes of operation.
6. Transformer and Inductor design.
7. Voltage and current commutated choppers.
8. MOSFET, IGBT based Choppers.
9. IGBT and MOSFET based inverters.
10. Current source inverter.
11. Single phase AC voltage controller.
12. Transfer function of a DC Motor.
13. Resonant Inverters.
14. Closed loop control of converter fed DC motor Drives.
15. Closed loop control of chopper fed DC motor drives.
16. VSI fed three phase induction motor drive.
17. Three phase synchronous motor and drive.
18. PC based control of power electronic devices.
19. Microcontroller and DSP based control of dc-dc converters.
20. Study of harmonic pollution by power electronics loads.
(At least 15 experiments in the list are to be conducted in the laboratory. Additional
experiments and simulation assignments can also be given by the department).
27
MEEID 108
SEMINAR – I L T P C 0 0 2 1
Each student is required to present a technical paper on a subject approved by the
department. The paper should be on a recent advancement/trend in the field of Power
Electronics, drives, Control etc. He/she shall submit a report of the paper presented to the
department.
28
MEEID 201
ADVANCED CONTROL OF AC DRIVES
L T P C 3 1 0 4
Module 1: Modeling
Dynamic d-q modeling of induction machines - stator, rotor and synchronously rotating
reference frame models, state space equations and dynamic simulation, Space Phasor
model – control principle of the induction motor
Module 2: Vector Control
Vector controlled induction motor drive - Basic principle-Direct Rotor flux oriented vector
control - Estimation of rotor flux and torque - Implementation with current source and
voltage source inverters Stator flux oriented vector control - Indirect rotor flux oriented
vector control scheme implementation– tuning - Dynamic simulation. Parameter
sensitivity and compensation of vector controlled induction motors-Selection of Flux level
- Flux weakening operation - Speed controller design -Vector control strategies for
Synchronous motor
Module 3
Doubly-fed machine speed control by rotor rheostat – static kramer drive – phasor
diagram, equivalent – speed control – power factor improvement – Static Scherbius drive –
Modes of operation - Direct torque control of induction motor – principle – control
strategy – space vector modulation – reduction of torque and flux ripple – comparison of
DTC and FOC
Module 4
Sensor less Control: Principles for speed sensor less control - Sensor less methods for
scalar control, Sensor less methods for vector control, Introduction to observer based
techniques, Basic principle of DTFC.
29
References
1. R Krishnan, Electric Motor Drives, PHI.
2. D W Novotny and T A Lipo, Vector Control and Dynamics of AC Drives, Oxford
University Press, 1996.
3. B K Bose, Modern Power Electronics and AC Drives, Pearson-2002. Leonhard,
Control of Electric Drives, Springer-2001.
4. Kazmierkowski, Krishnan, Blaabjerg, Control in Power Electronics-Selected
Problems, Academic Press, 2002.
5. John Chiasson, Modeling and High Performance Control of Electric Machines, Wiley-
IEEE Press, 2005.
6. I Boldea, S A Nasar, Electric Drives, 2ndedition, CRC Press, 2006.
7. K Rajashekara, Sensorless Control of AC motors, IEEE Press, 1996.
8. I Boldea, S A Nasar, Vector Control of AC Drives, CRC Press, 1992.
9. J Holtz, Sensorless Control of Induction Motor Drives, Proceedings of the IEEE,
August 2002, PP 1359-1394.
30
MEEID 202
DIGITAL CONTROL SYSTEMS
L T P C 3 1 0 4
Module 1: Basic concepts in sampled data systems
Discrete time signals-sampling process-effect of sampling-loss of information and noise
due to sampling-signal reconstruction-sampling theorem-hold circuits (ZOH,FOH)-z
transforms-inverse z transform-difference equations- solution using z transform-system
transfer function-poles and zeros-influence of pole location on time response-effect of
zeros
Module 2: Analysis in z-domain
Stability- Jury’s test –Schur Cohn test –bilinear transformation –Routh –Hurwitz method
in w plane Discret Equivalents-Via numerical integration – pole – zero matching –hold
equivalents
Module 3: Digital Controller Design
using transform techniques –by emulation –by root locus in the z-plane –by frequency
response methods – Direct Design –method of Ragazzini-Design using State –Space
approach-Controllability-Observability-Control Law Design.
Module 4: Estimator/Observer Design
Full and reduced order observers-regulator design –case with reference input –separation
principle Case Studies
Case Studies
References:
1. Gene F Franklin, J David Powell, Michael Workman, Digital control of dynamic
systems, Pearson education
2. J R Liegh,Applied Digital Control,Rinchart and Winston Inc,New Delhi
3. Frank L Lewis, Applied optimal control and estimation,Prentice-Hall,Englewood
Cliffs, New Jersey,1992
4. Benchamin C Kuo ,Digital Control Systems,2nd Edition, Saunders College
Publishing,Philadelphia,1992
5. K Ogata,Discrete – Time control systems, Pearson education, Asia
31
6. C L Philips,H T Nagle, Digital control systems, Prentice-Hall, Englewood Cliffs, New
Jersey,1995
7. R G Jacquot ,Modern digital control systems,Marcal Decker,New York 1995
8. M Gopal ,Digital control and state variable methods, Tata McGraw-Hill 2009
32
MEEID 203 ANALYSIS OF POWER ELECTRONIC SYSTEMS – II
L T P C 3 1 0 4
Module 1: PWM Strategies for Inverters
Sinusoidal PWM - Regular Sampled PWM- Space Vector Modulation - modulation
strategies for multilevel inverters of Diode Clamped Type and Flying Capacitor Type,
Microcomputer implementation of PWM inverters.Current Regulated PWM Voltage
Source Inverters-Methods of Current Control, Hysteresis Control, Variable Band
Hysteresis Control, Fixed Switching Frequency Current Control Methods.
Module 2: DC-DC Switch Mode Converters
Buck, Boost, Buck-Boost SMPS Topologies. Basic Operation-Waveforms-modes of
operation – Output voltage ripple-State space modeling-Simulation and closed loop control
system design.Push-Pull and Forward Converter Topologies-Basic operation.Waveforms-
Voltage Mode Control. Half and Full Bridge Converters. Basic Operation and Waveforms
- Fly back Converter, Continous and Discontinuous mode operation, Waveforms.
Module 3: Resonant Converters
Classification of Resonant Converters, Basic Resonant Circuit Concepts, Load Resonant
Converter, Resonant Switch Converter, Zero Voltage Switching - Zero current switching –
ZVS Clamped Voltage Topologies, Resonant dc-link inverters
Module 4: PWM Rectifiers
Single phase and three phase converters - Basic topologies - Control
principles.Introduction to Matrix Converters-Matrix converter switches and circuit-control
strategies-Venturini control method.
References:
1. B W Williams, Principles and Elements of Power Electronics, University of
Strathclyde Glasgow, 2006
2. Mohan, Undeland, Robbins, Power Electronics -3rd edition, John Wiley and Sons,
2003.
3. William Shepherd, Li Zhang, Power Converter Circuits, Marcel Decker, 2004.
4. Prof. Ramnarayanan, Course Material on Switch Mode Power Conversion, Electrical
Department, IISc, Bangalore, 2006.
5. Philip T Krein, Elements of Power Electronics, Oxford, 1998.
33
6. B K Bose, Modern Power Electronics and AC Drives, Pearson Education, 2002.
7. Kazmierkowski, Krishnan, Blaabjerg, Control in Power Electronics, Academic
Press,02
8. Issa Batarseh, Power Electronic Circuits, John Wiley, 2004.
34
MEEID 204
SPECIAL ELECTRICAL MACHINES AND DRIVES L T P C 3 1 0 4
Module 1
Stepper Motors - Constructional features, principle of operation, modes of excitation,
single phase stepping motors, torque production in variable Reluctance (VR) stepping
motor, Dynamic characteristics, Drive systems and circuit for open loop control, Closed
loop control of stepping motor, microprocessor based controller.
Module 2
Switched Reluctance Motors - Constructional features, principle of operation. Torque
equation, Power controllers, Characteristics and control. Microprocessor based
controller.Sensor less control. Synchronous Reluctance Motors-Constructional features:
axial and radial air gap Motors.Operating principle, reluctance torque – Phasor diagram,
motor characteristics.
Module 3
Permanent Magnet Brushless DC Motors - Commutation in DC motors, Difference
between mechanical and electronic commutators, Hall sensors, Optical sensors,
Multiphase Brushless motor, Square wave permanent magnet brushless motor drives,
Torque and emf equation, Torque-speed characteristics, Controllers-Microprocessor based
controller. Sensorless control.
Module 4
Permanent Magnet Synchronous Motors - Principle of operation, EMF, power input and
torque expressions, Phasor diagram, Power controllers, Torque speed characteristics, Self
control, Vector control, Current control schemes. Sensor less control.
References:
1. Kenjo T, Sugawara A, Stepping Motors and Their Microprocessor Control, Clarendon
Press, Oxford, 1994
2. Miller T J E, Switched Reluctance Motor and Their Control, Clarendon Press, Oxford,
1993.
3. Miller T J E, Brushless Permanent Magnet and Reluctance Motor Drives, Clarendon
Press, Oxford, 1989.
4. B K Bose, Modern Power Electronics & AC drives, Pearson, 2002.
35
5. Kenjo T, Power Electronics for the Microprocessor Age, Oxford University Press,
1990.
6. Ali Emadi (Ed), Handbook of Automotive Power Electronics and Motor Drives, CRC
Press, 2005.
7. R Krishnan, Electric Motor Drives – Modeling, Analysis and Control, PHI, 2003.
8. H A Toliyat, S Campbell, DSP Based Electro Mechanical Motion Control, CRC Press,
2004.
36
MEEID 205-1
ADAPTIVE CONTROL
L T P C 3 0 0 3
Module 1: Introduction
Adaptive Control-effects of process variation-Adaptive schemes-Adaptive Control
problem- Applications Real-Time Parameter Estimation-Introduction-Least Squares and
Regression Models-Estimating-Parameters in Dynamical Systems
Module 2: Model-Reference Adaptive Systems
Introduction-The MIT Rule-Determination of the Adaptation Gain-Lyapunov Theory-
Design of MRAS Using Lyapunov Theory-Bounded-Input-Bounded-Output Stability-
Applications to Adaptive control
Module 3: Self-Tuning Regulators
Introduction-Pole Placement Design-Indirect Self-tuning Regulators-Continuous Time
Selftuners-Direct Self-tuning Regulators-Disturbances with Known Characteristics-
Relations between MRAS and STR
Module 4: Gain Scheduling
Introduction- Principle and Design of Gain Scheduling controllers-Nonlinear
Transformations applications of Gain Scheduling. Practical Issues and Implementation-
Controller and estimator implementation- operational issues.
Case Studies
References:
1. Karl Jhon Astrom & Bjom Wittenmark, Adaptive Control, Addison Wesley, 1994.
Shankar Sastry, Adaptive Control, PHI (Eastern Economy Edition), 1989.
2. Karl Jhon Astrom, Adaptive Control, Pearson Education, 2001.
3. Petros A Ioannou, Jing, Robust Adaptive Control, Prentice-Hall, 1995.
4. Eykhoff P, System Identification: Parameter and State Estimation, 1974.
5. Ljung, System Identification Theory for the User, Prentice-Hall, 1987.
37
MEEID 205-2
SOFT COMPUTING TECHNIQUES
L T P C 3 0 0 3
Module 1: System Identification
Least Square Method-LSE for non linear load- Validation of simulation model-computer
simulation of continuous and discrete system.
Module 2: Neural Network
Different architectures-supervised learning-perceptron- Adaline-Back Propagation-
Unsupervised learning-Competitive learning-Kohenon self organizing network-Hebbian
learning- Hopfield network- ART network-NNW applications in control, identification and
pattern recognition.
Module 3: Fuzzy Logic
Basic concepts-set theoretic operations-membership function-fuzzy rules-fuzzy reasoning-
fuzzy inference systems-Mamdani and Sugeno type-defuzzification- fuzzy controllers-
applications in electric drives.
Module 4: Neuro Fuzzy
Modeling - Neuro fuzzy inference system-controllers-Back propagation through recurrent
learning- Reinforced learning. Genetic Algorithms-Basic concepts-design issues-modeling
hybrid models.
References:
1. S Rajasekharan, Vijaya Lakhmi Pai, Neural Network, Fuzzy logic and Genetic
Algorithm, PHI, 2002
2. J S R Lang, C T Sun, Mizutani, Neuro Fuzzy and Soft Computing.
3. David E Goldberg, Genetic Algorithms.
4. C T Lin, C S G Lee, Neural Fuzzy Systems.
5. Bort Kosko, Fuzzy Engineering.
6. Simon Haykin, Neural networks.
7. M Ananda Rao, J Sreenivas, Neural Network Algorithm and Applications.
8. B K Bose, Modern Power Electronics & AC drives, Pearson, 2002.
9. Cirstea, Dinu, Mccormick, Neural and Fuzzy Logic Control of Drives and Power
systems, Elsevier, 2002.
38
MEEID 205-3
ROBOTICS AND AUTOMATION
L T P C 3 0 0 3
Module 1: Introduction
Geometric configuration of robots – Manipulators – Drive systems – Internal and external
sensors – End effectors – Control systems – Robot programming languages and
applications –Introduction to robotic vision
Module 2: Robot Arm Kinematics Direct and inverse kinematics – Rotation matrices – Composite rotation matrices – Euler angle
representation – Homogenous transformation – Denavit Hattenberg representation and various
arm configurations.
Module 3: Robot Arm Dynamics Lagrange – Euler formulation, joint velocities – Kinetic energy – Potential energy and motion
equations – Generalized D’Alembert equations of motion.
Module 4: Planning of Manipulator Trajectories
General consideration on trajectory planning joint interpolation & Cartesian path
trajectories.Control of Robot Manipulators-PID control computed, torque technique – Near
minimum time control – Variable structurecontrol – Non-linear decoupled feedback
control – Resolved motion control and adaptive control..
References:
1. Fu K S, Gonazlez R C and Lee C S G, Robotics (Control, Sensing, Vision and
Intelligence), McGraw-Hill, 1987.
2. Wesley, E Sryda, Industrial Robots: Computer Interfacing and Control. PHI, 1985.
3. Asada and Slotine, Robot Analysis and Control, John Wiley and Sons, 1986.
4. Philippe Coiffet, Robot Technology, Vol. II (Modeling and Control), Prentice Hall
INC,1981.
5. Saced B Niku, Introduction to Robotics, Analysis, Systems and Applications, Pearson
Education, 2002.
6. Groover M P, Mitchell Wesis, Industrial Robotics Technology Programming and
Applications, Tata McGraw-Hill, 1986.
7. Sciavicco L, B Siciliano, Modeling & Control of Robot Manipulators, 2nd Edition,
Springer Verlag, 2000.
39
8. Gray J O, D G Caldwell (Ed), Advanced Robotics & Intelligent Machines, The
Institution of Electrical Engineers, UK, 1996.
9. Craig John J, Introduction to Robotics: Mechanics and Control, Pearson, 1989.
40
MEEID 205-4
POWER QUALITY L T P C 3 0 0 3
Module 1
Introduction-power quality-voltage quality-overview of power quality phenomena-
classification of power quality issues-power quality measures and standards-THD-TIF-
DIN-C-message weights-flicker factor-transient phenomena-occurrence of power quality
problems-power acceptability curves-IEEE guides, standards and recommended practices.
Module 2
Harmonics-individual and total harmonic distortion-RMS value of a harmonic waveform-
triplex harmonics-important harmonic introducing devices-SMPS- Three phase power
converters-arcing devices-saturable devices-harmonic distortion of fluorescent lamps-
effect of power system harmonics on power system equipment and loads. Modeling of
networks and components under non-sinusoidal conditions-transmission and distribution
systems-shunt capacitors-transformers-electric machines-ground systems-loads that cause
power quality problems-power quality problems created by drives and its impact on drives
Module 3
Power factor improvement-Passive Compensation.Passive Filtering. Harmonic Resonance
Impedance Scan Analysis- Active Power Factor Corrected Single Phase Front End,
Control Methods for Single Phase APFC, Three Phase APFC and Control Techniques,
PFC Based on Bilateral Single Phase and Three Phase Converter. static var compensators-
SVC and STATCOM
Module 4
Active Harmonic Filtering-Shunt Injection Filter for single phase , three-phase three-wire
and three-phase four-wire systems . d-q domain control of three phase shunt active filters
uninterruptible power supplies-constant voltage transformers- series active power filtering
techniques for harmonic cancellation and isolation . Dynamic Voltage Restorers for sag ,
swell and flicker problems. Grounding and wiring-introduction-NEC grounding
requirements-reasons for grounding-typical grounding and wiring problems-solutions to
grounding and wiring problems.
41
References:
1. G T Heydt, Electric Power Quality, West LaFayette, Stars in a Circle Publications,
1991.
2. Math H Bollen, Understanding Power Quality Problems, IEEE Press-Standard
Publishers, Delhi, 2001.
3. Jose Arillaga and Newille R Watson, Power System Harmonics, John Wiley, 2003.
4. Ali Emadi, Nasiri, Bekiarov, Uninterruptible Power Supplies & Active Filters, CRC
Press, 2005.
5. J Arrillaga, Power System Quality Assessment, John Wiley, 2000.
6. J Arrillaga, B C Smith, N R Watson, A R Wood, .Power System Harmonic Analysis.
Wiley, 1997.
7. Surya Santoso, H Wayne Beaty, Roger C Dugan, Mark F McGranaghan, Electrical
Power System Quality, McGraw Hill, 2002.
42
MEEID 206-1
EMBEDDED CONTROLLERS L T P C 3 0 0 3
Module 1: C Programming of microcontrollers Review of 8051 assembly language-Introduction to C51 language-keywords-structures-
superloop-timer and interrupt programming-single programs for interfacing LED,LCD
display,keyboard and stepper motor control
Module 2: PIC processors
RISC concepts - PIC processors- overview-18F458 - Architecture – Elementary Assembly
Language Programming- Interrupts – Timers – Memory – I/O ports – SPI – I2C bus - A/D
converter - USART- PWM – Interfacing. Introduction to FPGA Devices.
Module 3: DSP architecture
Introduction to DSP architecture- computational building blocks - Address generation unit-
Program control and sequencing- Speed issues- Harvard Architecture, Parallelism,
Pipelining.
Module 4: TMS 320F2407
Architecture- Addressing modes- I/O functionality, Interrupts, ADC, PWM, Event
managers- Elementary Assembly Language Programming- Typical applications-buck
boost converter, stepper motor control- Software and Hardware Development Tools.
References:
1. Mazidi and Mazidi. Embedded system design using 8051 Microcontroller, Pearson-
2005 Mazidi,PIC Microcontrollers
2. I Scott Mckenzie,8051 Microcontroller programming,Pearson Education
3. Sen M Kuo, Woon .Seng. Gan, Digital signal Processors-Architecture, implementation
and applications, Pearson, 2005
4. H.A. Toliyat, S.Campbell, DSP based Electro Mechanical Motion Control, CRC Press-
2004
5. Avtar Singh and S. Srinivasan, Digital Signal Processing, Thomson- Brooks - 2004
6. Phil Lapsley, Bler, Sholam, E.A.Lee, DSP Processor fundamentals, IEEE Press -1997
7. Wayne Wolf, FPGA based System Design, Pearson - 2004
8. Scott Hauck, The Roles of FPGAs in Reprogrammable Systems, Proceedings of the
IEEE, Vol. 86, No. 4, pp. 615-639, April, 1998.
43
MEEID 206-2
FLEXIBLE AC TRANSMISSION SYSTEMS(FACTS)
L T P C 3 0 0 3
Module 1
Reactive power control in electrical power transmission lines - uncompensated
line–Shunt Compensation and Series compensation: Voltage Stability-
Improvement of Transient stability, Power Oscillation damping.Introduction to
FACTS - Basic Types of FACTS controller- Brief description and definitions of FACTS
controllers – Benefits from FACTS technology.
Module 2
Variable impedance type Static Var generators – Switching Converter type Var generators
Static Var Compensator (SVC) and Static Compensator (STATCOM): Principle of
operation, configuration and control – The Regulation Slope- Transient Stability
enhancement and Power Oscillation damping
Comparison between STATCOM and SVC
Module 3
Variable Impedance Type series compensators: Thyristor Switched Series Capacitor
(TSSC), Thyristor Controlled Series Capacitor (TCSC) - Sub synchronous characteristics-
Basic NGH SSR Damper
Static Synchronous Series Compensator (SSSC): Principle of operation, configuration and
control.
Module 4
Unified Power Flow Controller (UPFC): Principle of operation, Conventional
Transmission control capabilities, Comparison of UPFC to Controlled Series
Compensators- Control structure. Interline Power Flow Controller (IPFC) – Basic
operating Principles and Characteristics Generalized and multifunctional FACTS
controllers.
References:
1. T J E Miller, “Reactive Power Control in Power Systems” John Wiley, 1982.
2. N G Hingorani and L Gyugyi, “Understanding FACTS” IEEE Press, 2000.
3. Y.H. Song and A.T. Johns “Flexible ac Transmission Systems (FACTS)” IEEE Press,
1999.
44
4. R. Mohan Mathur and Rajiv K. Varma, “Thyristor based FACTS controllers for
Electrical Transmission Systems”, Wiley Interscience, IEEE Press 2002.
5. Padiyar K.R. “Facts Controllers In Power Transmission and Distribution”, New Age
International Publishers, June 2007.
45
MEEID 206.3
POWER ELECTRONICS APPLICATIONS IN POWER SYSTEMS
SYSTEMS
L T P C 3 0 0 3
Module 1: Introduction
Concept and General System Considerations. Power Flow in AC System. Definitions on
FACTS .Basic Types of FACTS Controllers. Converters for Static Compensation. Multi-
Pulse Converters and Interface Magnetics. Transformer Connections for 12, 24 and 48
pulse operation. Multi-Level Inverters - Diode Clamped Type, Flying Capacitor and
cascade multilevel inverters.
Module 2: Static Shunt and Series Compensators
SVC and STATCOM, Operation and Control of TSC and TCR, direct and indirect control
of STATCOM. Decoupled control strategy - Compensators- Comparison between SVC
and STATCOM - transient and dynamic stability enhancement using STATCOM. Static
Series Compensators-TSSC, TCSC and SSSC, Operation and Control, External System
Control for SeriesCompensators, SSR and its damping - Static Voltage and Phase Angle
Regulators, TCVR and TCPAR, Operation and Control.
Module 3: UPFC and IPFC:
The Unified Power Flow Controller - operation, comparison with other FACTS devices -
control of P and Q - dynamic performance - Special Purpose FACTS Controllers -Interline
Power Flow Controller - operation and control.
Module 4: Power Quality and introduction to custom power devices:
Power Quality issues related to distribution systems – custom power devices – Distribution
STATCOM – Dynamic Voltage restorer – Unified Power Quality Conditioner –
Application of D-STATCOM, DVR and UPQC for improving power quality in
distribution systems.Excitation Systems-Need for AVR-brushless alternator - static
excitation – Modeling – Stability - Applications ofpower electronics in modern excitation
systems.
References:
1. N G Hingorani and L Gyugi, Understanding FACTS, IEEE Press, 2000.
2. Y H Song and A T Johns(Ed), Flexible AC Transmission Systems, IEE Press, 2001.
3. Mohan Mathur, Rajiv K Varma, Thyristor Based FACTS Controllers for Electrical
Transmission Systems, IEEE Press, 2002.
46
4. Arindom Ghosh and Gerald Ledwich, Power Quality Enhancement Using Custom
Power Devices, Kluwer Academic, 2002.
5. Bin W U, High Power Converters and AC drives, John Wiley, 2006.
6. Arriliga and Watson, Computer Modeling of Electrical Power Systems, Wiley, 2001.
7. Olle I Elgerd, Energy Systems Theory, TMH, 1986.
8. C Schauder and H Mehta, Vector Analysis and Control of Advanced Static VAR
Compensators, IEE Proceedings-C, Vol.140, Issue 4, 1993.
9. Schaefer RC, Applying static excitation systems, Industry Applications Magazine,
IEEE, Volume Issue 6, Nov.-Dec., 1998.
10. N G Hingorani, Introducing Custom Power, IEEE Spectrum, Vol. 32, No.6, pp 41-48,
June, 1995.
47
MEEID 206-4
DIGITAL SIGNAL PROCESSING L T P C 3 0 0 3
Module1: Introduction to FFT:
Discrete Fourier transform - Properties –Efficient computation of DFT-FFT algorithms-
Radix-2 FFT algorithms-Decimation in time-Decimation in frequency algorithms-Use of
FFT algorithms in Linear filtering, convolution and correlation.
Module 2: Digital filter design and realization structures
Amplitude and phase response of FIR filters- Linear phase filters- Windowing techniques
for design of Linear phase FIR filters- Rectangular, Hamming, Kaiser windows-frequency
sampling techniques-IIR filters-magnitude response-Phase response-group delay-Design of
low pass Butterworth filters-Bilinear transformation-Pre warping, impulse invariant
transformation- Comparison of FIR and IIR digital filters- Basic FIR and IIR filter
realization structures- Signal flow graph representations-use of MATLAB.
Module 3: Analysis of finite word-length effects
Quantization process and errors- Coefficient quantization effects in IIR and FIR filters-
A/D conversion noise- Arithmetic round-off errors- Dynamic range scaling- Overflow
oscillations and zero input limit cycles in IIR filters
Power Spectrum Estimation-Computation of energy density spectrum- auto correlation and
power spectrum of random signals, Periodogram- Use of DFT in Power Spectrum
Estimation- Non Parametric methods for power spectral estimation: Barlett and Welch
methods-Blackman and Tukey method
Module 4: Digital signal processors
Introduction to DSP architecture- Addressing modes - Address generation unit- Program
control and sequencing- Speed issues- Harvard Architecture, Parallelism, Pipelining –
Study of TMS 320C54XX processor- Architectural features – Basic programming –
addition – subtraction – multiplication – convolution - FFT.
48
References:
1. David Sanjit K Mitra, Digital Signal Processing: Computer-based approach, 3rdedn,
TMH-2006
2. John G. Proakis, and Dimitris G. Manolakis, Digital Signal Processing, 3rd edition,
Prentice-Hall of India Pvt. Ltd, New Delhi, 2000
3. Emmanuel C. Ifeachor, Barrie W. Jervis, Digital Signal Processing-A practical
Approach, Pearson, 2002
4. Avtar Singh and S. Srinivasan, Digital Signal Processing, Thomson- 2004
5. Sen. M Kuo, Woon Seng Gan, Digital Signal Processors, Pearson Education-2005
6. Robert.J. Schilling, Sandra L Harris, Digital Signal Processing, Thomson-2005
7. B.P. Lathi, Signal Processing and Linear systems, Oxford-2000
49
MEEID 207 ELECTRIC DRIVES LABORATORY
L T P C 0 0 3 2
Experiments
1. Closed loop control of high frequency of DC – DC converters
2. Closed loop control of BLDC motors.
3. Closed loop control of Switched reluctance motors.
4. Vector control of three phase induction motors.
5. Vector control of three phase synchronous motors.
6. Closed loop control of PMSM.
7. Sensor less control of motors.
8. Use of Microcontrollers, DSP and FPGA for the control motors.
(At least 5 experiments in the list are to be conducted in the laboratory. Additional
experiments and simulation assignments can also be given by the department)
50
MEEID 208 SEMINAR – II L T P C 0 0 2 1
Each student is required to present a technical paper on a subject approved by the
department. The paper should be on a recent advancement/trend in the field of Power
Electronics, drives, Control etc. He/she shall submit a report of the paper presented to the
department.
51
MEEID 301
INDUSTRIAL TRAINING AND MINIPROJECT L T P C 0 0 20 10
The student shall undergo (1) Industrial training of 3 month duration OR (2) Industrial
training of one month duration and a Mini Project of two month duration.. Industrial
training should be carried out in an industry / company approved by the institution and
under the guidance of a staff member in the concerned field. At the end of the training he /
she has to submit a report on the work being carried out. He/she should also submit mini
project report.
MEEID 302
MASTER’S THESIS PHASE - I L T P C 0 0 10 5
The thesis (Phase-I) shall consist of research work done by the candidate or a
comprehensive and critical review of any recent development in the subject or a
detailed report of project work consisting of experimentation/numerical work, design
and or development work that the candidate has executed.
In Phase-I of the thesis it is expected that the student should decide a topic of thesis, which
is useful in the field or practical life. It is expected that students should refer national and
international journals, proceedings of national and international seminars. Emphasis
should be given to the introduction to the topic, literature review, and scope of the
proposed work along with some preliminary work / experimentation carried out on the
thesis topic.
Student should submit Phase-I thesis report in two copies covering the content discussed
above and highlighting the features of work to be carried out in part-I of the thesis. Student
should follow standard practice of thesis writing.
The candidate will deliver a talk on the topic and the assessment will be made on the basis
of the term work and talks there on by a panel of internal examiners one of which will be
the internal guide. These examiners should give suggestions in writing to the student to be
incorporated in thesis work Phase-II.
52
MEEID 401
THESIS EVALUATION
L T P C 0 0 30 15
In the fourth semester the student has continue the thesis work and present the report. At
the end of successfully finishing the work he / she has to submit a detailed report and has
to present for a viva–voce.
The work carried out should lead to a publication in a National / International
Conference. They should submit the paper before the evaluation of the thesis and specific
weightage will be given to accepted papers in reputed conferences.
MEEID 402
MASTER’S COMPREHENSIVE VIVA
A comprehensive viva voce examination will be conducted at the end of the fourth
semester by an internal and external examiners appointed by the university to assess the
candidates overall knowledge in the specified field of specialization.
