Annexure- III · braking, plugging and Dynamic braking. Converter controlled dc drives: co ntinuous and discontinuous conduction modes of operation. Chopper controlled drives. Comparison

Page 7 of 57

Annexure-III

B.Tech./B.E. 3rd

year and M.Tech. Revised syllabi w.e.f. session 2019-20

Note: Revised syllabi of B.E. will be same as that of B.Tech. except that an extra ‘E’ is added in the

beginning of the course codes.

Revised syllabi of B.Tech. 3rd

year w.e.f. session 2019-20

Course Title Automation & Control Engineering

Course Number EEA3010

Credits 4

Course Category ESA

Prerequisite Courses None

Contact Course 3-1-0 (Lecture-Tutorial- Practical)

Type of Course Theory

Course Assessment Course Work (Home Assignments) (15%)

Mid Semester Examination (1 hour) (25%)

End Semester Examination (2 hour) (60%)

Course Objectives To focus on general concept of control systems incorporating modelling and performance

analysis with potential application to engineering systems. Modelling in time and

frequency domains stability analysis.

Course Outcomes After successful completion of the course students will be able to:

1. Acquire general understanding of control systems, including system modelling

and its performance analysis.

2. Develop mathematical models of a simple mechanical and electrical system.

3. Design proper controller for a control system to achieve desired specifications.

4. Apply the State Space representation. Design and analyse state space model

using MATLAB.

SYLLABUS No. of

Lectures

UNIT I: INTRODUCTION TO CONTROL SYSTEMS ENGINEERING AND

MATHEMATICAL MODELLING Review of Control System Engineering, effects of feedback, modelling, and transfer function of

mechanical, electrical and hydraulic systems, DC and AC servomotors, Tacho-generators, Synchro error

detector.

12

UNIT II: BLOCK DIAGRAM, SIGNAL FLOW GRAPHS & STATE VARIABLE TECHNIQUES

Block diagram representation & reduction techniques, signal flow graphs, Mason’s Gain Formula,

System representation in various forms of state variables, concept of controllability and observability.

12

UNIT III: TIME DOMAIN ANALYSIS OF LINEAR SYSTEMS Transient and Steady state responses, transient response of second order systems, error constants, Routh-

Hurwitz criterion, root-locus technique and its applications. Concept of proportional, derivative, integral

and PID Controllers.

12

UNIT IV: FREQUENCY DOMAIN ANALYSIS

Stability of Control Systems, Frequency domain analysis of linear systems using Bode’s plot, gain

margin and phase margin. Nyquist criterion and its application. Correlation between Time and

Frequency response

12

TOTAL: 48

Books*/

References

References

1 *B.C.Kuo Automatic Control Systems, Prentice Hall of India, 2002.

2 *Norman S. Nise Control Systems Engineering, Wiley Eastern, 2007.

3 K. Ogata, Modern Control Engineering, Prentice Hall of India, 2003.

4 Nagrath and Gopal, Control System Engineering, New Age, 2007.

5 Samarjit Ghosh, Control systems, Pearson.

6 Nagrath and Gopal Control System TMH, 2002.

7 B.S.Manke, Linear Control Systems, Khanna.

Page 8 of 57

8 NPTEL lectures/notes and MIT open courseware.

9 Relevant Journals/ Magazines / IEEE Transactions on Automatic control.

Course

Assessment/

Evaluation/

Grading Policy

Sessional

Assignments / Quiz / Presentations (2 to 3) 15 Marks

Mid Term Examination (1 Hour) 25 Marks

Sessional Total: 40 Marks

End Semester Examination (2 Hours) 60 Marks

Total 100 Marks

COs- POs MAPPING

POs a B c d e f g h i j k

CO 1 x X x

CO 2 x X x x

CO 3 x X x x

CO 4 x x

Course Title Electrical Drives

Course number EEC3110

Credit Value 4

Course Category DC

Pre-requisite EEC2120, EEC3210

Contact Hours (L-T-P) 3-1-0


Course Objectives To introduce the basic concepts of dc electric drives and ac electric drives.

Course

Outcomes

At the end of the course the students will be able to

1. Apply the knowledge of drives and use them effectively.

2. Suggest the particular type of AC/DC drive system for an application.

Syllabus UNIT I: Fundamentals of Electric Drives

Introduction and classification of electric drives, comparison with other types of drives.

Characteristics of different types of mechanical loads, stability of motor-load systems,

multi-quadrant operation. Drive parameters for rotational and translational motion:

Equivalent torque and moment of inertia. Fluctuating loads and load equalization.

Thermal loading of motors, estimation of motor rating for continuous, intermittent and

short-time duty loads.

UNIT II: DC Drives

Characteristics of dc motors and PM dc motor. Conventional methods of speed control:

rheostatic, field and armature control. Electric braking of dc drives: Regenerative

braking, plugging and Dynamic braking. Converter controlled dc drives: continuous and

discontinuous conduction modes of operation.

Chopper controlled drives. Comparison of phase and chopper controlled drives.

UNIT III: A.C. Drives I

Review of three phase induction motor characteristics. Electric braking of induction

motor drives: Regenerative, Plugging, ac and dc dynamic braking. Methods of speed

control of induction motors: stator voltage control, variable frequency control, and pole

changing and pole amplitude modulation, rotor resistance control.

UNIT IV: A.C. Drives II Static rotor resistance control of induction motor. Slip power recovery schemes: static

Scherbius and Kramer drives. Voltage source inverter (VSI) controlled induction motor

drive, current regulated VSI drives. Synchronous motor variable frequency drive.

Page 9 of 57

Books*/References 1. G. K. Dubey*, “Fundamentals of Electric Drives”, second edition, Narosa Pub.

House, New Delhi.

2. G. K. Dubey, “Power Semiconductor Controlled Drives”, Prentice Hall.

3. R. Krishnan, “Electric Motor Drives: Modeling, Analysis and Control”, Prentice Hall

of India.

POs a b c d e f g h i

CO1 x x x

CO2 x x x x x x

CO3 x x x

CO4 x x x x x x

Course Title Power System Analysis

Course Number EEC3310

Credits 4

Course Category DC

Prerequisite Courses Power System Engineering

Contact Course 3-1-0 (Lecture-General- Practical)





Course Objectives To introduce the concepts of Load flow analysis, bus admittance matrix, load

flow problem formulation and solution techniques, economic load dispatch, load

frequency and voltage control, fault analysis, and steady state and transient

stability analysis.

Course Outcomes After successful completion of this course, students will be able to:

1. Develop power system network models and solve load flow problems

using various techniques.

2. Formulate economic load dispatch problems.

3. Analyse various faults and calculate the associated fault values for

symmetrical and unsymmetrical faults.

4. Perform stability analysis of a simple power system for small and large

disturbances.

SYLLABUS L+G

UNIT I

Load Flow Analysis: Per unit system of calculation, Formation of Bus admittance matrix, Formulation of load flow

problem; type of buses, Solution techniques – Gauss-Seidel and Newton–Raphson. Representation of voltage-

controlled buses and transformers. Decoupled and fast-decoupled load flow.

12

UNIT II

Economic Operation of Power Systems: Study of economic dispatch problem in a thermal power station,

consideration of transmission losses in economic dispatch, simplified method of loss-formula calculation, solution

of coordination equation, unit commitment, Introduction to load frequency and voltage control.

12

UNIT III

Fault Analysis: Types of fault, calculation of fault current and voltages for symmetrical short circuit. Symmetrical

components, Sequence impedance and networks of power system elements, unsymmetrical short circuits and series

fault.

12

UNIT IV

Stability Analysis: Introduction to steady state and transient stability of power systems, swing equation, equal area

criteria, solution of swing equation, methods of improving stability, Introduction to voltage stability.

12

Total (L+G) 48

SUGGESTED READING / TEXTS / REFERENCES

Page 10 of 57

*Nagrath and Kothari, Power System Analysis, 4th

edition (TMH).

B.R. Gupta, Power System Analysis and Design.

Grainger and Stevenson, Power System Analysis (TMH).

Hadi Saadat, Power System Analysis, (TMH).

CO-PO Mapping


CO 1 x x x

CO 2 x x x

CO 3 x x x x

CO 4 x x x x x

Course Title Electrical Power Generation and Utilization


Credit Value 4

Course Category DC

Pre-requisite Nil

Contact Hours (L-G-P) 3-1-0


Course

Objectives

To introduce the fundamentals of illumination engineering, various types of batteries and their field of

applications, railway electrification, various types of services and their characteristics, various types of

conventional power plants and their suitability criterion, site selection, maintenance and operation.

Course

Outcomes


1. Have the knowledge of thermal and nuclear power plants and their working.

2. Have the knowledge of hydro and gas power plants and their working.

3. Have the knowledge of various types of cogeneration, captive power plants and various aspects of

illumination design.

4. Understand different types of electric traction system, different services and maintenance of line.

Syllabus

Unit Topic L+G

Unit I

Thermal Power Plants:

Coal fired Plants: Site selection, various components, parts and their operation,

Steam and fuel cycles, Pollution control, Modern clean coal Technologies.

Nuclear Power Plants: Site Selection, Principal of Fission, Main components of

nuclear reactor, Fast Breeder and other reactors, Fuel extraction, enrichment and

fabrication, Basic control of reactors, Environmental aspects.

12

Unit II

Hydro and Gas Power Plants:

Hydro Plants: Site selection, Classification of Hydro plants, Main components

and their functions, Classification of turbines, Pumped storage plants,

Environmental aspects.

Gas Turbine plants: Principle of operation, Open & closed cycle plants,

Combined cycle plants, IGCC.

12

Unit III

Cogeneration, Captive Power Plants and illumination: Cogeneration Plants, Cogeneration Technologies, Types of CPP, Concept of

Distributed Generation.

Illumination: Laws of illuminations, Various aspects of illumination design.

Electrolytic Effects: Types of Batteries, their components, Charging &

maintenance.

12

Unit IV

Electric Traction: Speed time curves, Tractive efforts and specific energy consumptions, Track

electrification & traction substations, Current collectors, Negative boosters and

control of traction motors.

12

Page 11 of 57

Total L+G 48

Books*/

References

1. *B.R.Gupta, Generation of Electrical Energy (Eurasia Pub. House).

2. M.V.Deshpande, Elements of Electrical Power Station Design (Wheeler Pub. House).

3. *H.Pratab, Art & Science of Utilization of Electrical Energy (Dhanpat Rai & sons).

Course

Assessment/

Evaluation/

Grading Policy

Sessional

Assignments 15 Marks


Sessional Total 40 Marks


Total 100 Marks

CO-PO Mapping


CO 1 x x x

CO 2 x x x

CO 3 x x x x x x

CO 4 x x x x x

Course Title Dynamic system analysis


Credit Value 4

Course Category DC

Pre-requisite Signals and systems

Contact Hours (L-T-P) 3-1-0 (L-T-G)


Course

Objectives

The objective of the course is to introduce the concepts in the analysis and design of control systems. To

focus on general concept of control systems incorporating modelling and performance analysis with

potential application to engineering systems.

Course

Outcomes


1. Understand the basics of Automatic Control System including system modelling and its

performance analysis

2. Apply the State Space representation and use it for the stability analysis of the dynamic systems.

Design system model using MATLAB.

3. Analyze the system using Bode Plot and Root Locus techniques and suggest the relative

stabilities of different dynamic systems

4. Design and compare different types of controllers and apply control systems theory to a real

engineering system.

Syllabus

Lecture

Control Concepts and Mathematical Modelling: System concepts, Effect of Feedback,

System Modelling, Transfer Function, and Modelling of mechanical, electrical, and

hydraulic systems. Analogy between the elements of different types of systems. State

Variable Representation. Relationship between State Model and Transfer Function.

12

System Representation and Control Components: Block Diagram Algebra. Signal Flow

Graph and Mason’s Gain Formula. Numerical simulation using MATLAB and Simulink

for linear time invariant systems. Applications of Synchro, Tachogenerator, Servomotor

and Stepper motor in control systems.

12

Time Response Analysis: Time response of First Order and Second Order systems.

Steady State Error and Error Coefficients. State Transition Matrix and solution of State

Equations. Concepts of Stability –Routh-Hurwitz criterion of Stability. Root Locus

technique. Introduction to P, PI and PID controllers.

12

Page 12 of 57

Frequency Response Analysis and Control System Design: Frequency response of

second order system. Bode Plots, Polar Plots, Nyquist stability criterion, Gain margin and

phase margin. Correlation between Time and Frequency response. Cascade and feedback

compensation – design of lag, lead, lag-lead compensators.

12

Total No. of Lectures 48

Books*/

References

References 1 *B.C.Kuo Automatic Control Systems, Prentice Hall of India, 2002.

2 *Norman S. Nise Control Systems Engineering, Wiley Eastern, 2007

3 K. Ogata, Modern Control Engineering, Prentice Hall of India, 2003.

4 Nagrath and Gopal, Control System Engineering, New Age, 2007

5 Samarjit Ghosh, Control systems, Pearson

6 Nagrath and Gopal Control System TMH, 2002.

7 B.S.Manke, Linear Control Systems, Khanna

8 NPTEL lectures/notes and MIT open courseware.

9 Relevant Journals/ Magazines / IEEE Transactions on Automatic control.

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

COs- POs MAPPING

POs a b c d e f g h i j k

CO 1 x x x

CO 2 x x x x x

CO 3 x x

CO 4 x x

Course Title Electrical and Electronic Instrumentation


Credit Value 3

Course Category DC

Pre-requisite Basic Electrical and Electronics Engineering



Course

Objectives

To introduce the concepts of digital measurement, data management, transducers and their applications in

the measurement of physical quantities and understanding of latest instrumentation and measurement

technologies.

Course

Outcomes

At the end of the course the students will be able to:

1. Understand different methods of digital instrumentation, data transmission and acquisition.

2. Select electrical transducers according to specific applications and requirements.

3. Analyse different methodologies for the measurement of various physical quantities (pressure,

temperature, flow etc).

4. Relate new instrumentation technologies and recent developments in (Wide Area Measurement

Systems, Global Positioning System, Nano Instrumentation, MEMS, and Smart Sensors etc).

Syllabus

Topic Lecture

Unit I - Digital Instruments and Measurement

Comparative Analysis of Digital Instruments and Analog Instruments

12 Digital Voltmeter,

Digital Multimeter

Page 13 of 57

Digital Measurement of Frequency

Digital Measurement of Time

Digital Measurement of Energy

Home Assignment/ Tutorial

Unit II - Data Transmission and Acquisition

Amplitude and Frequency Modulation

12

Time Division and Frequency Division Multiplexing

Telemetry Principles and Applications

Analog and Digital Data Acquisition Systems

Data Logger

Digital Storage Oscilloscope


Unit III – Transducer

Introduction, Classification of transducer

12

Characteristics of transducer

Transducer for various physical quantity measurement.

Digital Transducers.


Unit IV - Recent Development

Intelligent Instrumentation

12

Introduction to Virtual Instrumentation

MEMS based Sensors, Smart Sensors and GPS

Wide Area Measurement and Nano Instrumentation



Books*/

References

1. *D.V.S Murty, “Transducers and Instrumentation”, PHI.

2. *T. S. Rathore, “Digital Measurement Techniques”, Narosa Publishing House.

3. Morris, “Principle of Measurement and Instrumentation”, PHI

4. H. K. P Neubert, “Instrument Transducers”, Oxford University Press.

5. Rangan Mani and Sarma, “Electrical Instrumentation”, TMH

6. Relevant journals/ Magazines / IEEE Transaction papers.

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

CO-PO Mapping


CO 1 x x

CO 2 x x

CO 3 x x

CO 4 x x

Course Title High Voltage Engineering


Credit Value 3

Course Category Core

Page 14 of 57

Pre-requisite -


Type of course Theory

Course Objectives To introduce the basic concepts of high voltage engineering including mechanism of electrical

breakdown in gases, liquids and solids, high voltage ac/dc and impulse generation and

measurement.

Course Outcomes At the end of the course the students will be able to:

1. learn the fundamental concept of electric breakdown in liquids, gases, and solids.

2. understand fundamental concepts of high voltage AC, DC, and impulse generation.

3. learn the techniques employed in high voltage measurements.

Syllabus

TOPICS

UNIT I: Breakdown Mechanisms in Dielectrics:

Breakdown Mechanisms in Gases: Townsend’s theory, Streamer theory,

Breakdown in electronegative gases: Paschen’s Law. Breakdown Mechanisms in

Liquids – Suspended Particle mechanism, Cavitation & Bubble mechanism,

Stressed Liquid Volume mechanism. Breakdown Mechanisms in Solids: Intrinsic

breakdown, Streamer breakdown, Electromechanical breakdown, Thermal

breakdown, Electrochemical breakdown, Tracking & Treeing.

Assignment/Quiz/Presentation/Tutorial

UNIT II: Generation of High Voltages:

Generation of Alternating Voltages: Testing transformers, Resonant transformers,

Generation of high frequency voltages, Generation of DC Voltages: Simple

rectifier circuits, Cascaded circuits, Cockcroft-Walton circuit, Electrostatic

generators, Van-de-Graff generator, Generation of Impulse Voltages: Single stage

and multistage impulse generator circuits, Marx generator. Assignment / Quiz /

Presentation / Tutorial

UNIT III: Measurement of High Voltages:

High Voltage Measurement techniques, Peak Voltage Measurement by spark

gaps- Sphere gaps, Uniform field electrode gaps, rod gaps

Generating voltmeters, Electrostatic voltmeters, Chubb-Fortescue Method,

Potential dividers, Impulse voltage measurements.,

Assignment/Quiz/Presentation/Tutorial

Lectures

12

12

12


Books*/References 1. E. Kuffel, W.S. Zaengl, and J. Kuffel High Voltage Engineering Fundamentals, Elsevier

India Pvt. Ltd, 2005.

2. M.S. Naidu and V. Kamaraju, High Voltage Engineering, Tata McGraw-Hill Publishing

Company Ltd., New Delhi.

CO-PO Mapping


CO 1 x x x

CO 2 x x x

CO 3 x x x x x x

CO 4 x x x x x

Course Title Microcontroller Systems and Appl.

Course number EEC-3710

Credit Value 4

Course Category DC

Pre-requisite ELA2010

Page 15 of 57



Course

Objectives

The Course objective is to impart a comprehensive working knowledge of 8051 microcontroller regarding

its architecture, coding, I/O ports, Timer, Interrupts, A-D, D-A conversion, serial and parallel

communication along with an introduction to a high end 32 bit TM4C123G

Course

Outcomes

After successful completion of this course students will be able to demonstrate

1. an in-depth knowledge of a 8051 microcontroller and do basic programming.

2. an ability to program in assembly, C language for peripherals and other applications

3. basic working knowledge of TM4C123G along with some basic programming skills

4. an ability to interface microprocessor with other devices and develop simple projects

Syllabus

Module Topic Lecture

Unit-I

Introduction to Microcontroller and I/O Port programming

Introduction: The 8051 Microcontroller, Criteria for choosing a

microcontroller, 8051 family members and block diagram, Pin description

02

Assembly Language Programming: Program Counter and ROM space, data

types and directives, PSW, Register Banks and stack, Addressing Modes

03

I/O Port Programming: I/O Ports, Bit addressability & Read Modify-write

feature

02

Instruction set and programming: Arithmetic, Logic, Single bit, Jump,

Loop and Call Instructions and programming in C

03

Assignment/ Quiz/ Presentation 02

Unit-II

8051 Timer/counter/Interrupt and serial communication Programming

Timers and Counters: Timer Registers, TMOD Register, Timer mode 1,

mode 2, mode 3 programming, Counter Programming

03

Interrupts: 8051 interrupts, IVT for 8051, IE register, TCON register and

Timer Interrupts, External H/W Interrupts

03

Interrupt Programming: Serial Port Interrupts Programming, interrupt

priority upon reset and IP register.

03

Serial communication and Programming: Basics of serial communication,

8051 connection to RS232, 8051 serial port programming in assembly, serial

port programming in 8051 C

02


Unit-III

High end Microcontroller

Introduction: Introduction to TM4C123G, ARM architecture and execution;

Simple addressing modes; Registers

01

Programming basics: Assembly syntax; Functions; Logic operations; Parallel

I/O, Switch and LED interfacing; IO synchronization

03

Peripherals: Timers, Interrupt concept, Periodic interrupt, Edge-triggered

interrupt, D/A conversion – Digital to analog conversion (DAC); A/D

conversion – Analog to digital conversion (ADC)

03

Communication: Serial I/O – Universal asynchronous receiver transmitter

(UART); Serial I/O – SSI vs. UART vs. USB vs. I2C

02


Unit-IV

Application

Interfacing: LCD interfacing, Keyboard interfacing 02

ADC, DAC and sensor interfacing: ADC 0808 interfacing to 8051, Serial

ADC Max1112 ADC interfacing to 8051, DAC interfacing, Sensor interfacing

and signal conditioning.

02

Motor control: Relay, PWM, DC and stepper motor: Relays and opto

isolators, stepper motor interfacing, DC motor interfacing and PWM.

03

IDE and CCS based coding and simulation of TM4C123G for real world

problem, Introduction to Viva evaluation board

03

Page 16 of 57



Books*/

References

1. *Mazidi & Mazidi, “The 8051 Microcontroller and Embedded system”, PHI publications, 2nd

Ed

2. Manish K. Patel, “The 8051 Microcontroller based Embedded System”, Mc Graw Hill,

3. *Mazidi & Naimi Arm, “Ti Tiva Arm Programming for Embedded Systems: Programming Arm

Cortex-M4 Tm4c123g with C”, Volume 2, 1st Ed, MicroDigitalEd, 2017

4. Tiva TM4C123GH6PM Microcontroller Data Sheet.

5. Getting Started with the Tiva TM4C123G LaunchPad Workshop Student Guide and Lab Manual

(Chapter 4)

6. TivaWare Peripheral Driver Library User’s Guide (iLearn-> Reference Materials -> SWTM4C-DRL-

UG-2.1.0.12573.pdf)

7. Tiva C Series TM4C123G LaunchPad Evaluation Board User’s Guide.

8. Cortex-M4 Technical Reference Manual.

9. Cortex-M4 Devices Generic User Guide.

10. Cortex-M3/M4F Instruction Set Technical User’s Manual.

11. Jonathan W. Valvano, "Introduction to ARM Cortex-M Microcontrollers (fifth edition)," 2014.

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

CO-PO Mapping

POs a b c d e f g h i j k

CO 1 x x x x x x x

CO 2 x x x x x x x

CO 3 x x x x x x x

CO 4 x x x x x x x

Course Title New and Renewable Energy Sources


Credit Value 4


Pre-requisite



Course

Objectives

To introduce fundamentals of various renewable energy source and their technologies used to harness

usable energy from solar, wind, ocean and Biomass energy sources.

Course

Outcomes


1. Identify renewable energy sources.

2. Understand the mechanism of solar energy resources and generation of power from solar energy.

3. Understand the mechanism of wind energy resources and generation of power from wind energy.

4. Understand the mechanism of biomass energy resources and generation of power from biomass

energy.

Syllabus


Module-I

Introduction:

Energy Resources and their classifications,

12 Geothermal energy generation systems,

Ocean tidal energy systems,

Fuel cell, energy storage,

Page 17 of 57

Solar resources, passage through atmosphere.

Assignment/ Quiz/ Presentation/Tutorial

Module-II

Solar Energy Conversion

Solar thermal energy conversion

12

Solar energy collectors

Solar thermal power plant

Solar PV conversion

Solar PV cell, V-I characteristics

MPPT

Solar PV power plant and applications


Module-III

Biomass Energy Conversion

Usable forms of Biomass

12

Biomass energy resources

Biomass energy conversion technologies

Ethanol blended petrol and diesel-biogas plants.

Energy farming.


Module-IV

Wind Energy Conversion

Wind Energy estimation- Power extraction, Lift and drag forces

12

Horizontal and vertical axis wind turbine

Wind energy conversion and control schemes

Integration of wind power plant with the grid-Power converters and control

schemes



Books*/

References

1. B. H. Khan, “Conventional Energy Source” Second Edition, Tata McGraw Hill, 2009

2. 2. J.W. Twidell & A.D. Weir, Renewable Energy Resources, (ELBS / E. & F.N. Spon., London).

3. Godfrey Boyle, Renewable Energy, Oxford, 2nd edition 2010.

4. C. S. Solanki, Solar Photovoltaic Technology and Systems, PHI, ISBN: 9788120347113

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

CO-PO Mapping

POs a b C d e f g h i

CO 1 x x x

CO 2 x x x x x x

CO 3 x x x

CO 4 x x x x x x

Course Title Power Electronics–II

Page 18 of 57


Credit Value 4

Course Category DC

Pre-requisite Nil



Course Objectives To introduce the Power Electronic Devices, their gate drive circuits, design of commutation

circuits, different types of dc-dc converters, ac regulators and their analysis, their control

schemes and various types of inverter schemes.

Course

Outcomes


1. Use different power semiconductor devices for particular applications along their gate

drive circuits.

2. Apply the principles of integral cycle and ac-phase control schemes.

3. Design PWM based converter control schemes.

4. Design dc-dc converters and apply them effectively for industrial applications.

5. Implement power electronic circuits with minimal harmonics.

Syllabus UNIT I: DC to DC Converters Introduction to linear and switching converters. Buck, boost, buck-boost, Cuk converters.

Analysis for voltage and current ripples.

Isolated dc-dc converters: flyback, forward and push-pull converters.

UNIT II: AC to AC Converters Principle of integral cycle and ac phase control. Analysis of single phase ac regulator with R

and RL load. Thyristor controlled reactor (TCR). Three-phase ac –ac converters with various

star and delta configurations.

UNIT III: DC-AC Converters

Principle of operation and analysis of single-phase square wave inverter with R, RL and RLC

loads. Performance indices: THD, power factor distortion factor etc.

Three-phase dc-ac converters: Basic circuits with ideal and practical switches.

180 degree and 120 degree conduction schemes, waveforms of phase and line voltages for star

and delta connected loads, Fourier series and harmonic analysis.

UNIT IV: Voltage and Harmonic Control of DC-AC Converter

Voltage and harmonic control. PWM techniques: Single PWM, Multiple PWM, Sine-PWM,

Phase displacement PWM and selective harmonic elimination. Harmonic analysis of output

voltage.

Books*/References 1. *G.K.Dubey, et al, Thyristorised Power Controllers; New Age International, New Delhi.

2. M.H. Rashid, Power Electronics; PHI Learning, New Delhi

3. *Ned Mohan et al, Power Electronics, John Wiley and Sons

4. M. H. Rashid, Power Electronics Handbook, Academic Press, California

5. M. S. JamilAsghar, Power Electronics, PHI Learning


CO1 x x x

CO2 x x x x x x

CO3 x x x

CO4 x x x x x x

Page 19 of 57

Revised syllabi of M.Tech. (Electrical Engineering) w.e.f. session 2019-20

Course Title Advanced Digital Signal Processing

Course number EE-6XX

Credit Value 4

Course Category DE

Pre-requisite Signals and Systems



Course

Objectives Learn core concepts of signal processing that are vital in signal analysis.

Course

Outcomes


1. Understand the different filter structures and the stochastic models.

2. Use the stochastic models for the backward and forward linear prediction and for optimum linear

filters.

3. Understand the basic concepts of FIR and IIR digital filters.

4. Design filters to suit specific requirements for specific applications.

Syllabus

Module Topic Lectures

Unit-I

Stochastic Processes and Models

Filtering problem

12

Linear Filter Structures

Correlation Functions

Stochastic models: AR, MA, ARMA

Yule-Walker equations


Unit -II

Linear Prediction and Optimum Linear Filters

Forward and Backward Linear Prediction

12

Relationship of an AR process to Linear Prediction

Levinson-Durbin Algorithms

FIR and IIR Wiener Filter for Filtering and Prediction


Unit -III

Digital Filters

Basic Structures for Infinite Impulse Response (IIR) systems, Introduction

to Infinite Impulse Response (IIR) filters, Frequency transformation of low

pass IIR filters 12

Basic Structures for Finite Impulse Response (FIR) systems,

Characteristics of FIR filters


Unit -IV

Design of Digital Filters and Multi-rate Sampling

FIR Filters: Design using Windowing, Design by Frequency sampling

method, Design by Triangular window (Bartlett window)

12

IIR Filters: Impulse Invariance, bilinear transformation method,

Butterworth Filter, Chebyshev Filter

Multirate Digital Signal Processing: Decimation by a factor ‘D’, interpolation by a factor ‘I’, Sampling rate conversion by a factor ‘I/D’ Home Assignment/ Tutorial


Books*/

References

1. J G Proakis, D G Manolakis, “Digital Signal Processing: Principles, Algorithms and Application”,

4th

edition, Pearson Education India, 2014.

2. S. Haykin, “Adaptive Filter Theory”, Pearson Education India.

3. A. V. Oppenheim, R. W. Shafer, “Digital Signal Processing”, 1st edition, Pearson Education India.

Page 20 of 57

4. A. Antoniou, “Digital Filters: Analysis, Design and Applications”, 2nd

edition, McGraw Hill

Education, 2018.

5. S. K Mitra, “Digital Signal Processing: A computer-based approach “, 4th

edition, Mc Graw-Hill

Education, 2013.


Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks


CO 1 x x x

CO 2 x x

CO 3 x x

CO 4 x x x

Course Title Artificial Intelligence & Neural Network


Credit Value 4

Course Category DE

Pre-requisite None



Course

Objectives To introduce to the basic concepts of Artificial Intelligence, with illustrations of current applications.

Course

Outcomes


1. Exhibit strong familiarity with a number of important AI techniques.

2. Build awareness of AI facing major challenges and the complexity of typical problems within the

field

3. Understand the fundamental of ANN, its need, advantages and limitations.

4. Is able to learn methods to solve problems using ANN.

Syllabus

Topic Lecture

Unit I: Introduction

Introduction to Artificial Intelligence, Foundations and History of Artificial Intelligence,

Applications of Artificial Intelligence, Intelligent Agents, Introduction to Search, Search

strategies, Alpha – Beta pruning. 12


Unit II: Knowledge Representation

Knowledge Representation & Reasoning: Propositional logic, Forward & Backward

chaining, Resolution, Probabilistic reasoning, Hidden Markov Models (HMM), Bayesian

Networks. 12


Unit III: Fundamentals of Artificial Neural Network

Functional anatomy of Neuron; Artificial Neuron; Perceptron, XOR problem; Activation

functions; Network Architecture: Single Layer and Multilayer Perceptrons; 12 Home Assignment/ Tutorial

Unit IV: Learning Processes and Design

Supervised and Unsupervised Learning; Back Propagation Algorithm; Design issues: Pre-

processing, Structure of networks, Training, Validation and Testing the prototype;

Applications of Artificial Neural Networks

12

Page 21 of 57



Books*/

References

1. *Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, 2nd edition, Prentice

Hall of India, 2004.

2. Michael Negnevitsky Artificial Intelligence: A Guide to Intelligent Systems (3rd Edition)

3. Nils J. Nilsson, Artificial Intelligence: A new synthesis, Harcourt Asia PTE, 1998.

4. Simon Haykin, Neural Networks: A Comprehensive Foundation, Pearson Education

5. Satish Kumar, Neural Networks: A Classroom Approach, Tata McGraw Hill, 2004.

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

CO-PO Mapping


CO 1 x x x

CO 2 x x x

CO 3 x x x

CO 4 x x x

Course Title Engineering Statistics


Credit Value 4

Course Category DE

Pre-requisite Basic Statistics



Course

Objectives Learn core concepts of statistics that are vital for analysis.

Course

Outcomes


1. Understand and apply different probability distributions.

2. Know the Sampling distributions and apply to different types of problems.

3. Understand basic principles of statistical inference.

4. Acquire basic understanding of hypothesis testing.

Syllabus


Unit-I

Probability Distributions

Discrete Probability Distribution: binomial and multinomial distribution,

Poisson distribution

12 Continuous Probability Distribution: Uniform distribution, Normal

distribution and its application, Areas under the normal curve, Gamma and

exponential distributions


Unit -II

Sampling Distributions and Graphical Tools

Random Sampling and Sampling Distributions

12

Some Important Statistics

Sampling Distributions

Sampling Distribution of Means and the Central Limit Theorem

Sampling Distribution of S2,

Page 22 of 57

t-Distribution , 2- distribution and F-Distribution


Unit -III

One- and Two-Sample Estimation Problems

Introduction, Statistical Inference

12

Classical Methods of Estimation

Single Sample: Estimating the Mean

Standard Error of a Point Estimate

Prediction Intervals

Tolerance Limits

Single Sample: Estimating the Variance


Unit -IV

One- and Two-Sample Tests of Hypotheses

Statistical Hypotheses: General Concepts

12

Testing a Statistical Hypothesis

The Use of P-Values for Decision Making in Testing Hypotheses

Single Sample: Tests Concerning a Single Mean



Books*/

References

1. R. E. Walpole, R. H. Myers, S. L. Myers, K. E. Ye, “Probability and Statistics for Engineers,”

Pearson, 2014.

2. A. Papoulis, S. U. Pillai, “Probability, Random Variables and Stochastic Processes, “McGraw-

Hill.

3. K V Rao, “Biostatistics: A manual of statistical methods for use in health, nutrition and

anthropology” Jaypee Brothers.

4. J. H. Zar, “Biostatistical Analysis”, 4th

edition, Pearson Education.


Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks


CO 1 x x x

CO 2 x x

CO 3 x x

CO 4 x x x

Course Title Fuzzy Logic Based Control

Course number EEE-6470

Credit Value 4

Course Category PE

Pre-requisite Nil



Course

Objectives

To study and analyse fuzzy logic and fuzzy logic-based system control systems. To analyse the

performance of fuzzy logic-controlled systems and adaptive fuzzy systems. Also to design FLC based

systems and adaptive fuzzy controlled systems.

Course At the end of the course the students will be able to:

Page 23 of 57

Outcomes 1. analyse and use different fuzzy sets and their relations.

2. analyse different fuzzy inference systems and use them in fuzzy control.

3. design and develop different types fuzzy logic controllers and fuzzy self-tuning control.

4. analyse and design adaptive fuzzy controllers.

Syllabus

Topics L+G

UNIT-I: Fuzzy Set And Fuzzy Logic:-

Introduction of fuzzy sets and its properties, mathematical and graphical representation,

uninary and binary operations; fuzzy relations and composition of fuzzy relations; Fuzzy if-

then rule.

12

UNIT-II: Fuzzy Logic Control (FLC):-

Fuzzy Inference System (FIS): Mamdani FIS, Takagi-Sugeno-Kang (TSK) FIS, etc; Simple

Fuzzy Control (FLC): Architechture: Fuzzification, Inference mechanism, Aggregation,

Defuzzification; Design parameters; Fuzzy Knowledge Based Control (FKBC) as a non-linear

element; PI-like, PD-like and PID-like FKBC; Sliding Mode FKBC; Sugeno FKBC.

12

UNIT-III: Fuzzy Non-Linear and Self-Tuning Control:-

Non-linear Fuzzy control; FLC as a non-linear element; Scaling factors and effect of their

variations in FLC; Control of Non-linear systems and systems with Time-delays. Introduction

to Fuzzy Self-tuning control; Architecture, Tuning, Choice of membership; Performance

comparision with respect to disturbances.

12

UNIT-IV: Adaptive Fuzzy Control and Its Design:- Introduction to adaptive fuzzy control; Performance evaluation and monitoring; Adaptation

mechanism: Altering scaling factors, Modifying fuzzy sets, etc; Design of Fuzzy Adaptive

Control: Membership function tuning by gradient descent method and by using performance

criteria. Recent Fuzzy control schemes.

12

Total (L+G) 48

Books/

References

H. Zhang and D.Liu Fuzzy Modeling and Fuzzy Control, Birkhäuser, Boston, 2006.

L. Wang A Course in Fuzzy Systems and Control, Upper Saddle River,

NJ, Printice Hall, 1997.

D. Drainkov, H. Hellendoom, and

M. Reinfrank

An Introduction to Fuzzy Control, 2nd

edition, Springer-Verlag,

New York, 1996.

K.M. Passino and S. Yurkovich Fuzzy Control, Addison Wesley, 1998.

K. Tanaka and H. O. Wang Fuzzy Control Systems: Design and Analysis, John Wiley and

Sons, New York, 2001.

H. Ying Fuzzy Control and Modeling: Analytical Foundation and

Applications, IEEE Press, New York, 2000.

Assessment/

Evaluation?

Grading

Policy

Sessional

Assignments / Quiz / Presentation (3 to 4) 15 Marks

Mid Semester Examination (1 Hour) 25 Marks

Total of Sessional 40 Marks


Total 100 Marks

COs-POs Mapping

POs a b c D E f g h i

CO1 x X x

CO2 x x X X x x

CO3 x X x

CO4 x x X X x x

Course Title Nanomaterials and their applications

Course number EE-659

Credit Value 4

Course Category DE /OE

Pre-requisite Course on Electrical Engineering Materials at under graduate level

Page 24 of 57

Contact Hours (L-T-P) 3-1-0 (L-T-P)


Course

Objectives

To introduce nanomaterials and nanocomposites study, properties of nanomaterials, their characterization

techniques. To study Engineering applications of nanomaterials and nanocomposites. To learn the design

and development of devices such as sensors, super capacitor and solar cells etc. using nanomaterials.

Course

Outcomes


1. Understand the advantage and limitations of nanomaterials and nanocomposites in field of

Engineering and Technology.

2. Apply characterization techniques to obtain the properties of nanomaterials.

3. Design sensors, energy storage, conversion and transport devices.

4. Implement various nanomaterials for engineering applications.

Lecture

Introduction

Fundamentals of nanotechnology, types of nanomaterials,0D, 1D and 2D , nanocomposites ,

quantum dots, conducting, semiconducting, and dielectric nanoparticles, carbon

nanomaterials. Thermal, electrical, optical and magnetic properties of nanomaterials.

Assignment/ Quiz/ Presentation

12

Nanomaterial Characterisation Techniques

Powder X-ray diffraction (XRD), Scanning electron microscopy (SEM), Transmission

electron microscopy (TEM), UV-visible spectroscopy, Electrical characterization:

measurement of dielectric properties. Analysis using Origin and Powder X software.


12

Nanomaterials for energy conversion and storage

Nano sensors, Fabrication and characterization of super capacitors, Nanomaterials for

batteries, Applications of nano- fluids, organic LED, flexible energy storage devices.


12

Nanomaterials for green energy High efficiency photovoltaic solar cells, Design and development of dye sensitized solar

cells, Quantum dots based solar cells, Perovskite solar cells, characterization of solar PV

cell, Computational methods for the nanomaterials Assignment/ Quiz/ Presentation

02


Books*/

References

References

1 *Charles P.Poole, Jr, Frank J.Owens: “Introduction to Nanotechnology”, Wiley student Edition

2 Shana Kelley,Ted Sargent, “The New Science of Small”, www.thegreatcourses.com Copyright ©

The Teaching Company, United States of America. 2012

3 S.Yang and P.Shen: “Physics and Chemistry of Nanostructured Materials”, Taylor & Francis, 2000.

4 R.M.Rose, L.A.Shepard and J.Wulff, “The Structure and Properties of Materials”, Wiley Eastern

Ltd, 1996

5 Dieter Vollath, “Nanomaterials: An Introduction to Synthesis, Properties and Applications” Second

Edition ePDF ISBN: 978-3-527-67187-8 Wiley-VCH Verlag GmbH & Co. KGaA, Boschstr. 12,

69469 Weinheim, Germany, 2013

6 NPTEL lectures/notes and MIT open courseware

7 Relevant Journals/ Magazines / IEEE Transactions on engineering applications of Nanotechnology.

Course

Assessment/

Evaluation/

Grading

Policy

Sessional





Total 100 Marks

COs- POs MAPPING

POs a b c d E f g h i

Page 25 of 57

CO 1 x x x

CO 2 x x x

CO 3 X x

CO 4 x x

Course Title Optimal Control Systems


Credit Value 4

Course Category DC

Pre-requisite Control Systems



Course

Objectives

To gain knowledge on formulation and application of optimal control problems. To study and understand

various optimization techniques and their application in solution to optimal control problem.

Course

Outcomes


a) Have complete familiarity with constrained and unconstrained optimization problems and their

minimization using various numerical methods and functions.

b) Apply Linear programming, simplex method and also solve multi-objective optimization problems

for specific applications.

c) Design a Linear Quadratic Regulator for a given application

d) Formulate constrained optimal control problems and apply methods such as dynamic programming

based control and H∞ based control.

Syllabus


Module-I

Introduction to Optimization Problem

An overview of optimization problem and examples 01

Necessary and sufficient conditions for a multivariable function 01

Understanding of constrained and unconstrained optimization problems 01

Solution of unconstrained minimization problem using Gradient descent method,

Steepest descent method, Newton's method

01

Solution of unconstrained minimization problem using Davison-Fletcher-Powell

method and Exterior point method

02

Karush-Kuhn-Tucker (KKT) necessary and sufficient conditions 02

Convex sets, convex and concave functions, properties of convex function,

definiteness of a matrix and test for concavity of function

01

Convex optimization, quadratic optimization, constrained quadratic

optimization, local and global optima

01

Solution of quadratic programming problems using KKT necessary condition 01

Basic concept of interior penalties and solution of convex optimization problem

via interior point method

02


Module-II

Linear Programming

Linear programming: Simplex method; matrix form of the simplex method 01

Solution of linear programming problems in tabular form via simplex method 01

Two-phase simplex method 01

Primal and dual problem: Determination of primal solution from its dual form

solution and vice-versa

01

Properties of dual problems and sensitivity analysis 01

Basic concept of multi-objective optimization problem and some definitions 01

Solution of multi-objective optimization problem and illustrate the methodology 01

Concept of functional, variational problems and performance indices 01

Euler-Lagrange equation to find the extremal of a functional Transversality

condition

01

Application of variation approach to control problems 02

Page 26 of 57


Module-III

Linear quadratic regulator

Statement of Linear quadratic regulator (LQR) problem and mathematical

framework

01

Optimal solution of LQR problem 01

Different techniques for solution of algebraic Riccati equation 01

LQR design procedures and the role of state and input weighting matrices on the

system performance

01

Frequency domain interpretation of LQR problem 01

Stability and robustness properties of LQR design 01


Module-IV

Optimal control techniques

Optimal control with constraints on input 01

Optimal saturating controllers 01

Dynamic programming principle of optimality 02

Concept of time optimal control problem and mathematical formulation of

problem

01

Solution of time-optimal control problem 02

H∞ control problem statement: Synthesis and examples 03



Books*/

References

1. *Ian McCausland, “Introduction to Optimal Control,” John Wiley.

2. Donald E. Kirk, “Optimal Control Theory - An Introduction,” Prentice Hall

3. A.P. Sage, “Optimal System Control,” Prentice Hall.

4. H. Kwakernaak, E.R. Siwan, “Linear Optimal Control System,” Wiley, N.Y.

5. M. Gopal, "Modern Control System Theory,” Wiley Eastern, N. Delhi 1984.

6. NPTEL lectures/notes and MIT open courseware.

7. Relevant Journals/ Magazines / Transaction papers.

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

CO-PO Mapping


CO 1 x x

CO 2 x x

CO 3 x x x

CO 4 x x x

Course Title Digital Instrumentation Techniques


Credit Value 4

Course Category DE

Pre-requisite Logic Gates and Circuits, Electrical and Electronic Instrumentation



Course

Objectives

To introduce the concepts of digital techniques for measurement, signal conditioning, acquisition,

analyzing, recording and displaying for electrical/non-electrical signals.

Page 27 of 57

Course

Outcomes


1. Know the use of digital counting techniques and working of various digital instruments for

measurement of electrical quantities.

2. Apply measurement, signal conditioning, acquisition, and know the digital hardware

configurations for the above processes.

3. Analyze continuous and logic signals using various analyzers in time as well as frequency domain,

and logging signal.

4. Apply various schemes for the measurement of non-electrical quantities using digital measurement

methods and displaying techniques.

Syllabus


Unit-I

Digital Measurement of Electrical Quantities

Resolution, Sensitivity, Loading effect of digital instrument

10

Counters & Registers

Digital voltmeters, Digital Multimeter

Digital methods for the measurement of power and energy

Digital LCR meter

Low and high frequency measurement

Home Assignment/ Tutorial 02

Unit -II

Data Acquisition & Processing Techniques

Introduction to digital signal processing

10

Implementation of ADC and types

Implementation of DAC and types

Distortions in ADC & DAC, signal conditioning

DAQ hardware configuration

DFT, FCT, DCT, realization in digital circuits


Unit -III

Analysis & Record of Signals

Digital Oscilloscope, types, bandwidth

10 Spectrum analyzer, types of spectrum analyzers

Logic analyzer, types, triggering

Data logging: local & remote acquisition


Unit -IV

Realization of Digital Instruments in Process Control

Transducers for non-electrical quantities

10

Multiplexing of transducers

Digital Encoders & Decoders

Measurement schemes for various non-electrical quantities

display devices, drivers and multiplexers



Books*/

References

1. T. S. Rathore, “Digital measurement Techniques,” CRC Press, 2003.

2. Thomas L. Floyd, “Digital Fundamentals”, 11th edition, Pearson, 2014.

3. H. S. Kalsi, “Electronic instrumentation,” Tata McGraw-Hill Education, 2004.

4. Klaas B. Klaassen, “Electronic measurement and instrumentation, “Cambridge University Press,”

1996.

5. David A. Bell, “Electronic instrumentation and measurements,” OUP Canada, 2nd edition, 2006.

6. A. J. Bouwens, “Digital Instrumentation,” McGraw-Hill, 1984.


Course

Assessment/ Sessional



Page 28 of 57

Evaluation/

Grading Policy



Total 100 Marks

CO-PO Mapping


CO 1 x x x

CO 2 x x x X x x

CO 3 x x x

CO 4 x x x X x x

Course Title Identification and Estimation


Credit Value 4

Course Category DC

Pre-requisite Control Systems



Course

Objectives

To introduce theoretical basis for system identification and estimation, mathematical modeling,

parametric/non-parametric identification, parameter estimation, prediction of error, relations to maximum

likelihood and least square estimation and different Kalman filters techniques in state estimation problem.

Course

Outcomes


a) Apply the concepts related to random variables, model various disturbances and perform

identification of parametric, non-parametric and impulse response models.

b) Apply least-squares methods for system identification, its variants and data fit to linear models.

c) Appreciate various state estimation techniques, their properties and apply them to estimate the states

of a particular system.

d) Describe different Kalman filter techniques and apply them to state estimation problems.

Syllabus


Module-I

Introduction

Probability Theory 01

Random Variables 01

Random Vectors and Random Processes 01

Random Processes and Linear Systems 02

System model and classifications 02

Identification: Parametric and Non-parametric 01

Impulse response identification using cross-correlation test and orthogonal

series expansion

02

Time response and frequency response methods of transfer function evaluation 02


Module-II

System Identification

Methods of convolution 01

Model learning technique 01

Linear least square estimates 02

Non-recursive least square identification of dynamic system 01

Extensions of generalized least square method 02

Recursive least square identification 01


Module-III

State Estimation

Introduction to State Estimation 01

Estimator Properties: Precision and Accuracy 01

Page 29 of 57

The Cramér-Rao lower bound 01

Maximum Likelihood Estimation 02

Properties of maximum likelihood estimators 01

Maximum Likelihood Estimation for various observations 02

Least Square Estimation 01

Prediction error approach 01


Module-IV

Estimation in Optimal Control

State estimator using Kalman Filter 02

Kalman Filter-Model 02

Kalman Filter-Derivation 01

Extended Kalman Filter 01

The Time-Invariant Kalman Filter 01

Convergence, computational and implementation issues 01

Estimation in optimal Control and applications 02



Books*/

References

1. *Adriaan van den Bos, “Parameter Estimation for Scientists and Engineers,” Wiley-Interscience, 2007.

2. John L. Crassidis, John L. Junkins, “Optimal Estimation of Dynamic Systems,” CRC Press, 2004.

3. Isermann, Rolf, Münchhof, Marco, “Identification of Dynamic Systems,” Springer-Verlag, 2011.

4. NPTEL lectures/notes and MIT open courseware.

5. Relevant Journals/ Magazines / Transaction papers.

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

CO-PO Mapping


CO 1 x x x

CO 2 x x

CO 3 x x

CO 4 x x x

Course Title Solar PV System


Credit Value 4


Pre-requisite Nil



Course

Objectives To study and analyze the components, design and installation of the solar PV systems.

Course

Outcomes


1. Classify different types of solar PV modules required and learn their performance index.

2. Analyze the different components of solar PV system.

3. Analyze different types of Solar PV Power System.

4. Design a suitable solar PV power system.

Page 30 of 57

Syllabus

Topic Lecture

Unit- 1: Solar PV Modules and Arrays 12

Introduction to PV System 2

Solar PV Module- Selecting criteria and performance analysis 2

Module interconnections 2

Solar PV Array- Design and assembly 2

Solar PV array characteristics and output conditioning 2

Assessment/Quiz/Tutorials/Presentation 2

Unit- 2: Solar PV System and Components 12

Solar Inverter – Its characteristics and performance analysis 2

Batteries - Its characteristics and performance analysis 2

DC-DC converters and Maximum Power Point Tracking 2

Protection Devices and Switchgear assemblies 2

Balance of System Components 2


Unit- 3: Solar PV Power System 12

Types of SPV power systems 1

Grid connected power systems 3

Remote area power systems 3

Specific purpose Photovoltaic systems: Space – Marine –Telecommunication – water

pumping – refrigeration etc.

3


Unit- 4: Power system design and installations 12

Power considerations and system design- Array integration, electrical integration, utility

integration

3

Inspection and commissioning 3

Distributed power generation 2

Hybrid systems 2



Books*/

References

1. Photovoltaic Systems, 2nd Edition, by James P. Dunlop, Publisher: American, Technical Publishers,

Inc. 2010

2. Photovoltaics: Design and Installation Manual, by Solar Energy International, Publisher- New Society

Publishers, (2004).

3. C. S. Solanki, Solar Photovoltaic Technology and Systems, PHI

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

CO-PO Mapping


CO 1 x x x

CO 2 x x x x x x

Page 31 of 57

CO 3 x x x

CO 4 x x x x x x

Course Title Advanced Electric Drives-I


Credit Value 4

Course Category PC

Pre-requisite Nil



Course

Objectives

To introduce the operation of DC motor under motoring and braking modes, its speed control

methods and their analysis. To analyse the operation and speed control of permanent magnet AC

motor and reluctance motor drives.

Course

Outcomes


1. Analyze the motoring and braking operations of DC motor.

2. Model a DC motor and analyze the operation of DC motor drive for closed-loop operation

and that fed from solar power.

3. Analyze the motoring, braking and speed control operation of synchronous motor drive.

4. Analyze the operation of permanent magnet synchronous motor and reluctance motor

drives.

Syllabus

Topics L+G

UNIT-I: DC Motor Drives Characteristics of different DC motors; their speed control and braking operations.

Converter fed DC motor drives: Analysis of motoring and braking operations. Dual

converter fed DC motor drives. MATLAB simulation.

12

UNIT-II: DC Motor Drive Modelling and Application Dynamic modelling of DC motor drives; Closed-loop control. Permanent magnet DC

motor drives. Solar power-driven DC motor drives and their control.

12

UNIT-III: Synchronous Motor Drives Equivalent circuit of synchronous motor, motoring and braking operations. Operation with

non-sinusoidal supplies. Speed control. Self-controlled synchronous motor drives.

12

UNIT-IV: Permanent Magnet Synchronous Motor and Reluctance Motor Drives Permanent magnet AC motor drives. LCI fed synchronous motor drives. Switched and

Synchronous reluctance motor drives.

12

Total (L+G) 48

Books/

References

1. G. K. Dubey, “Power Semi-Conductor Controllers Drives” Printice-HALL 1989.

2. B. K. Bose, “Power Electronics and Motor Drives – Advances and Trends”, IEEE Press,

2006.

3. R. Krishnan, “Electric Motor Drives – Modeling, Analysis, and Control” Prentice Hall of

India, 2002.

4. W. Leonard, “Control of Electric Drives”, Springer Verlag, NY, 1985.

5. B. K. Bose, “Adjustable Speed A. C. Drives”, IEEE Press, 1993.

6. B. Wu, “High Power Converters and A.C. drives”, IEEE Press, John Wiley and Sons, Inc.

2006.

Assessment/

Evaluation?

Grading

Policy

Sessional





Total 100 Marks

Page 32 of 57

COs-POs Mapping


CO1 x x x

CO2 x x x x x x

CO3 x x x

CO4 x x x x x x

Course Title Advanced Electric Drives - II

Course number EEC 6240

Credit Value 4

Course Category PC

Pre-requisite Nil



Course

Objectives

To introduce the operation of induction motor under motoring and braking modes, its speed

control methods and their analysis. Analyse the field oriented control and recent control

methods of induction motor drive.

Course

Outcomes


1. Analyze the motoring and braking operations of induction motor.

2. Analyze and design the operation of induction motor with current source and its speed

control methods.

3. Analyze and design field-oriented control of induction motor.

4. Analyze and design recent control methods of induction motor drive.

Syllabus

Topics L+G

UNIT-I: Motoring and Braking Operation of Induction Motor:- Introduction to special requirement of high performance drives.

Induction motor: Equivalent circuit, performance under motoring and braking

operations. Operation of induction motor with non-sinusoidal supply.

12

UNIT-II: Speed Control of Induction Motor and Operation With Current

Source:- Operation of induction motor with current source.

Speed control methods of induction motor and their analysis: voltage control, V/f

control, static resistance control, Scherbius drive, Kramer drive.

Closed loop control of induction motor drives.

12

UNIT-III: Field Oriented Control of Induction Motor:- Dynamic dq model of induction motor. Field oriented control of induction motor:

configuration, mathematical modelling, direct and indirect methods.

12

UNIT-IV: Recent Controls of Induction Motor Drive:- Stator field oriented control, Direct torque control, and field control. Sensor less

control of induction motor drive.

12

Total (L+G) 48

Books/

References

G. K. Dubey “Power Semi-Conductor Controllers Drives” Printice-HALL 1989.

B. K. Bose “Power Electronics and Motor Drives – Advances and Trends”, IEEE

Press, 2006.

Page 33 of 57

R. Krishnan “Electric Motor Drives – Modeling, Analysis, and Control” Prentice

Hall of India, 2002.

W. Leonard “Control of Electric Drives”, Springer Verlag, NY, 1985.

B. K. Bose “Adjustable Speed A. C. Drives”, IEEE Press, 1993.

Bin Wu “High Power Converters and A. C. drives”, IEEE Press, A John

Wiley and Sons, Inc. 2006.

Assessment

/

Evaluation?

Grading

Policy

Sessional





Total 100 Marks

COs-POs Mapping


CO1 x x x

CO2 x x x x x x

CO3 x x x

CO4 x x x x x x

Course Title Power System Analysis


Credits 4

Course Category PE

Prerequisite Courses Power System Analysis at UG level

Contact Course 3-1-0 (Lecture-General- Practical)



Quiz/ Presentation (5%)



Course Objectives The goal of the course is to make the student to carry out the optimal power flow using

various optimization techniques and to perform the short circuit, contingency and

security studies.

Course Outcomes After successful completion of this course, students will be able to:

1. Understand the concepts of formation of network matrices for different power

system studies.

2. Understand the different type of load flow techniques and comparison with

optimal power flow.

3. Carry out the short circuit calculations and perform contingency and security

studies.

4. Be acquainted with major functions of energy control centre and the role of

SCADA in power system.

SYLLABUS L+G

UNIT I: Incidence and Network Matrices: Introduction, Primitive Network, Formation of

network matrices by singular and nonsingular transformations, Algorithms for the

formation of bus admittance and impedance matrices and their modification for changes

in the network, Three-phase YBUS and ZBUS matrices.

12

UNIT II:

Power flow solutions:

Gauss-Seidel, Newton-Raphson, Decoupled and Fast-Decoupled load flow techniques

12

Page 34 of 57

and their comparison

Optimal load flow:

Mathematical formulation of Optimal Power Flow (OPF) problem, Statement of OPF

Problem, Inequality Constraints on Control and Dependent Variables, Solution of OPF

Problem using various optimization techniques.

UNIT III:

Short circuit studies: Introduction, Short circuit calculations using three-phase ZBUS,

Short circuit calculations for balanced three-phase network using ZBUS, Example of short

circuit calculations using ZBUS

Contingency and security studies: Basic Concepts, Modelling for Contingency

Analysis, Contingency Selection, Functions of System Security, Static Security Analysis

at Control Centres

12

UNIT IV: Modern energy control centres and introduction to SCADA in power systems: Major

functions of Energy control centre, Supervisory Control System, Data Acquisition,

Components of SCADA System, Software for SCADA.

12

Total (L+G) 48

SUGGESTED READING / TEXTS / REFERENCES

1. G.W. Stagg & A.H. El-Abiad Computer Methods in Power Systems Analysis, McGraw-Hill

International Editions

2. Haadi Sadat Power System Analysis. TMH, India

3. M.A. Pai Computer Techniques in Power System Analysis, Tata McGraw-Hill,

N. Delhi

4. K. Uma Rao Power System Operation and Control, Wiley-India

CO-PO Mapping


CO 1 x x x

CO 2 x x x x x

CO 3 x x

CO 4 x x x x

Course Title Wind and Small Hydro Power (SHP) Energy Systems


Credit Value 4


Pre-requisite Nil



Course

Objectives

To introduce fundamentals of wind and small hydro energy system and their technologies used to harness

usable energy from wind and hydro energy sources.

Page 35 of 57

Course

Outcomes


1. Identify wind energy systems.

2. Understand the mechanism of extraction of power from wind energy resources.

3. Understand the various components of hydro power plants.

4. Understand the marketing issues and control strategies of stand-alone and hybrid energy systems.

Syllabus

Module Topic L+G

Unit-I

Introduction

Introduction of wind energy systems

12

General theories of wind machines

Basic laws and concepts of aerodynamics

Micro-siting

Assignment/ Quiz/ Presentation.

Unit-II

Wind Power Extraction

Description and performance of the horizontal-axis wind machines

12

Description and performance of the vertical-axis wind machines,

Blade design

Generation of electricity by wind machines, case studies

Electrical and pitch controller design

Assignment/ Quiz/ Presentation.

Unit-III

Hydro Power Plants

Overview of micro, mini and small hydro

12

Site selection and civil works

Penstocks and turbines

Speed and voltage regulation


Unit-IV

Control Strategies of Wind, Hydro and Hybrid Power Systems

Investment issues

12

load management and tariff collection

Distribution and marketing issues, case studies

Wind and hydro based stand-alone/hybrid power systems

Control of hybrid power systems

Wind diesel hybrid systems



Books*/

References

1. B. H. Khan, “Conventional Energy Source” Second Edition, Tata McGraw Hill, 2009

2. J.W. Twidell & A.D. Weir, Renewable Energy Resources, (ELBS / E. & F.N. Spon., London).

3. Djamila Rekioua, Wind power electric systems, Modeling, Simulation and Control. Springer,

4. Qiuwei Wu, Yuanzhang Sun, “Modeling and control of wind power”, John Wiley and Sons, pub.

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

CO-PO Mapping


CO 1 x x x

Page 36 of 57

CO 2 x x x x x x

CO 3 x x x

CO 4 x x x x x x

Course Title Power Apparatus and System Modelling


Credit Value 4

Course Category PC

Pre-requisite None



Course

Objectives

The goal of the course is to introduce the detailed modelling of synchronous machine, excitation system,

prime movers, induction machine, transformer, transmission line and power system loads.

Course

Outcomes

After successful completion of this course students will be able to:

1. Develop mathematical and simulation model of synchronous machines.

2. Analyze the types, working and modelling of turbines and governors.

3. Understand the various excitation systems and their modelling.

4. Model Induction motor, Synchronous Motor, Transformers, transmission lines, FACTS devices and

power system loads.

Syllabus

Topic L+G

Unit I: Synchronous Machine Modelling:

Physical Description, Park’s transformation (dqo transformation); modeling of synchronous

generator with damper windings;

Synchronous Machine Parameters: operational and standard, Effect of Saturation on Synchronous

Machine Modelling.

12

Unit II: Prime Movers Modelling:

Steam turbine and Governing system: Various configurations of Steam turbine of fossil- fueled

and nuclear units, Modelling of Steam turbine and its governing systems.

Hydraulic turbine and governing systems: Hydraulic turbine transfer function, linear and Non-

linear turbine model, Modelling of Governors for Hydraulic turbine

12

Unit III: Modelling of Excitation systems:

Excitation system requirements, Types of Excitation system, Control and protective function of

Excitation system, Modelling of various Excitation system, IEEE type various DC, AC and Static

models.

12

Unit IV: Modelling of Other Components for Dynamic Analysis (i) Induction Machine, (ii) Synchronous Motor, (iii) Transformers, (iv) transmission lines (v) Power

system Static and Dynamic loads (vi) Selected FACTS Controllers (SVC and TCSC).

12

Total (L+G) 48

Books*/

References

1. P. Kundur,” Power System Stability and Control”, Mc - Graw Hill.

2. L.P. Singh, “P.S. Analysis & Dynamics”, Wiley Eastern, Delhi.

3. K.R. Padiyar, “Power System Dynamics: Stability and Control”, John Wiley & Sons.

4. J A.A. Foud& P.M. Anderson, “Power System Stability and Control”, Vol. F. Latest Indian Edition,

Galgotia Press, New Delhi.

Course

Assessment/

Evaluation/

Grading

Policy

Sessional





Total 100 Marks

Page 37 of 57

CO-PO Mapping

Pos a b c d e f g h i

CO 1 x x x

CO 2 x x x x x

CO 3 x x x

CO 4 x x x

Course Title Advanced Power Electronics


Credit Value 4

Course Category PC

Pre-requisite Nil



Course

Objectives

To study and analyse PWM based voltage source inverters, Multi-level inverters, resonant

converters, and AC-AC Converters. To learn the design concepts of these converters for different

applications in the field of engineering.

Course

Outcomes


1. analyse and use different PWM based voltage source inverter.

2. analyse different multi-level inverter for different applications.

3. design and develop different types of resonant converters.

4. analyse the performance of cyclo-converter and matrix converters.

Syllabus

Topic L+G

UNIT-I: Switch-Mode Inverters:-

Basic concepts of three-phase VSI and their Fourier analysis. PWM modulation strategies

with harmonic analysis: Sinusoidal PWM and Space Vector Modulation. Single- and three-

phase CSI. Introduction to recent PWM techniques.

12

UNIT-II: Multi-Level Inverters:-

Introduction and classifications of MLI. Performance analysis of different types of MLI:

Diode Clamped, Flying Capacitor, Clamped H-Bridge, and Packed Ultra-Capacitor (PUC)

Types. Performance analysis of three-level MLI. Applications of MLI in Power System and

Drives. Control of MLI: Phase shift and level shift (in-phase and alternate phase).

12

UNIT-III: Resonant Converters:-

Basic concepts of resonant circuits. Load Resonant Circuits: Series and Parallel. Resonant

Switch Converters: ZVS and ZCS converters (examples of buck converter). Class-E

resonant Converters; Resonant dc-link converters.

12

UNIT-IV: AC-AC Converters:-

Cyclo-converters: Single-phase and Three-phase configurations. Matrix converters: Direct,

Indirect and Sparse topologies. Control of Matrix Converter. Examples and applications.

12

Total no. of Lectures 48

Books/ References Ned Mohan et al Power Electronics, John Wiley (SEA), 3rd

Ed.

M. H. Rashid Power Electronics, PHI Learning, Latest Ed.

R.W.Erickson and

D.Maksimovic

Fundamental of Power Electronics, Springer, 2nd

Ed.

M. H. Rashid Handbook of Power Electronics, Academic Press, 4th

Ed.

Pawel Szczesniak Three-Phase AC-AC Power Converters Based on Matrix Converter

Topology

Recent Publications

Course Assessment/

Evaluation?Grading

Policy Sessional



Total of Sessionals 40 Marks

Page 38 of 57


Total 100 Marks

COs-POs Mapping

Pos a b c d e f g h i

CO1 x x x

CO2 x x x x x x

CO3 x x x

CO4 x x x x x x

Course Title Power System Stability


Credit Value 4

Course Category PC

Pre-requisite None



Course

Objectives

The goal of the course is to make the student understand the transient as well as small signal stability for

single and multi-machine system and voltage stability of power systems.

Course

Outcomes

After successful completion of this course students will be able to:

1. Understand the concepts of different type of stability problems in power systems.

2. Analyze single and multi-machine systems for transient stability.

3. Understand the enhancement of small signal stability using power system stabilizer and FACTS

controllers.

4. Analyze voltage stability problems.

Syllabus

Unit Topic L+G

Unit I

Review of Stability Concept:

Definition, Broad classification, Various modes of small signal

oscillations, Rotor dynamics and Swing equation, Power angle equation,

equal area criterion, Solution of Swing equation of a single and multi-

machine system: Modified Euler, R-K 4th

Order Methods.

12

Unit II

Small signal stability analysis

Small signal stability analysis of a single machine infinite bus system (i)

Generator represented by the classical model (ii) Effect of synchronous

machine field circuit dynamics including excitation and Power System

Stabilizer (PSS), Small signal stability analysis of multi-machine systems:

Eigen value and time domain analysis. Improvement of Small signal

stability using FACTS devices.

12

Unit III

Transient stability analysis, Sub-synchronous and Torsional Oscillations

Transient stability analysis of multi-machine systems- digital simulation.

Direct method of stability analysis of a single and multi-machine systems

using Lyapunav energy function. Methods of enhancing transient stability

Introduction, Subsynchronous resonance (SSR) Theory, Classification of

SSR, Torsional Oscillations/Interaction with power system control,

Computation of Torsional Natural frequencies of shaft system,

Countermeasures to SSR.

12

Unit IV Voltage stability

Page 39 of 57

Basic concept of voltage stability, Voltage Collapse, Transmission system

characteristics of radial system, P-V and Q-V curves methods, Criteria for

assessing voltage stability, Static analysis and Dynamic analysis. 12

Total (L+G) 48

Books*/

References

1. P. Kundur Power System Stability and Control, Mc - Graw Hill.

2. K. R. Padiyar , Power System Dynamics, Stability & Control, Interline Publishers, Banglore.

3. P. Saur and M. A. Pai, Power System Dynamics & Stability, Prentice Hall

4. G.W. Stagg & A.H. Al-Abiad, Computer Methods in Power System, Mc - Graw Hill.

5. Jan Machowski and others, Power System Dynamics Stability and Control

6. C.W.Taylor. Power System Voltage Stability

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

CO-PO Mapping

POs A b c d e f g h i

CO 1 X x x

CO 2 X x x x x

CO 3 X x x

CO 4 X x x x

Course Title Instrumentation for Solar Energy System


Credit Value 4

Course Category PC

Pre-requisite Nil



Course

Objectives To study the working principle of various instruments and control devices used in Solar PV systems.

Course

Outcomes


1. Classify different types of instruments required and learn their performance index.

2. Analyze the instruments required for solar thermal system.

3. Analyze the instruments required for solar PV system.

4. Design a suitable metering system for solar PV system.

Syllabus

Topic Lecture

Page 40 of 57

Unit- 1: Characteristics of Instruments

Classification of instruments

12

Characteristics–Static and dynamics

Systematic and random errors -Statistical analysis -Uncertainty

Selection and reliability

Intelligent instruments -Physical variables -Error reduction.

Assessment/Quiz/Tutorials/Presentation

Unit- 2: Instrument for Solar Thermal System

Measurement of temperature, pressure and flow

12

Data logging and acquisition

Sensors for heat flow measurements

Heat flux meters

Instruments for analysing Flat plate collectors


Unit- 3: Instruments for solar PV System

Instruments for Solar radiation

12

Solar pathfinder/ sun eye

Instruments for analysing PV performance

Solar Simulators

Instruments for analysing battery performance


Unit- 4: Interconnection and metering

Interconnection and metering – Deciding factors

12

Gross Metering – Grid Tied LT and HT

Gross metering using 1 meter, 2 meters and for multiple buildings

Net metering – Grid Tied LT and HT

Net metering using 1 meter, 2 meters and for multiple buildings



Books*/

References

1. Raman .C.S, Sharma .G.R, Mani .V.S.V, “Instrumentation Devices and Systems”, Tata McGraw-Hill,

New Delhi, 2010.

2. Doeblin, “Measurement System Application and Design”, McGraw-Hill, 2010.

3. Morris .A.S, “Principles of Measurements and Instrumentation”, Prentice Hall of India, 2009.

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

CO-PO Mapping


CO 1 x x x

CO 2 x x x x x x

CO 3 x x x

CO 4 x x x x x x

Course Title Stochastic Processes

Course number EEE6060

Page 41 of 57

Credit Value 4

Course Category DE

Pre-requisite Introductory course of Probability and Statistics



Course

Objectives

This course aims at providing the necessary basic concepts in random processes and adaptive filtering.

Knowledge of fundamentals and applications of phenomena will greatly help in the understanding of

topics such as estimation and detection, pattern recognition, signal processing.

Course

Outcomes


1. Understand and characterise phenomena which evolve with respect to time in probabilistic manner.

Acquire skills in handling situations involving more than one random variable.

2. Be able to analyse the response of random inputs to linear time invariant systems.

3. Have a well-founded knowledge of adaptive filters and stationary processes.

4. Understand basic principles of linear filtering and prediction.

Syllabus


Unit-I

Probability Distributions and Random Variables

Joint and Conditional Probability

12

Bayes Rule, Independent events

Random Variables: Concept, Discrete and Continuous Probability

Distribution and Density function

Mean values and Moments

Conditional Probability Distribution and Density Functions

Multiple random variables: Joint Distribution and Joint Density Function

Statistical Independence, Covariance and Correlation,

Correlation between Random Variables

Central Limit Theorem

Operations on Multiple Random Variables: Moments, Operations on

random variables


Unit -II

Random Processes

Concept of a Random Process; Classification

12

Ergodicity, Stationarity and Independence

Time averages and Ensemble averages

Correlation Functions and its properties

Gaussian and Poisson Random Process


Unit -III

Adaptive Filtering and Stationary Processes

Introduction to Adaptive Filters

12

Linear Filter Structures

Correlation matrix and its properties

Stochastic models - AR, MA, ARMA

Yule-Walker equation

Power Spectral Density: Definition and its properties

Power Spectrum Estimation


Unit -IV Linear Filtering and Prediction

Page 42 of 57

Wiener Filtering: Problem statement, Principle of Orthogonality,

Minimum Mean squared error

12 Wiener-Hopf Equations

Forward and Backward Linear Prediction

Levinson-Durbin Algorithm



Books*/

References

1. George R. Cooper and Clare D. McGillem, “Probabilistic Methods of Signal and System Analysis”, 3rd

edition, Oxford University Press, 2007

2. Peyton Z. Peebles Jr., “Probability, Random Variables and random Signal Principles”, 4th

edition,

McGraw Hill Education, 2017.

3. R. E. Walpole, R. H. Myers, S. L. Myers, K. E. Ye, “Probability and Statistics for Engineers,” Pearson,

2014.

4. Simon Haykins, “Adaptive Filter Theory”, Pearson Education, 2008.

5. Behrouz Farhang-Boroujeny, “Adaptive Filters: Theory and Applications”, 2nd

edition, Wiley

Blackwell, 2013.


Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

CO-PO Mapping


CO 1 x x x

CO 2 x x x x x

CO 3 x x x x

CO 4 x x x x x x

Course Title Bio-Instrumentation


Credit Value 4

Course Category DE

Pre-requisite -



Course

Objectives

This subject aims to provide students with fundamental concepts of biomedical instrumentation and to

develop students' ability to analyze the signals and solve problems. It also aims to explain the principles of

and ways in which to build the instrumentation, including different kinds of sensors.

Course

Outcomes


1. Develop a clear knowledge about human physiology system.

2. Understand various methods of acquiring bio signals.

3. Analyze and evaluate the principles of various biomedical devices and sensors.

4. Describe and design the instrumentation for amplifying the bioelectrical signals.

Syllabus

Topics Lecture

Unit I – Introduction

Physiology: Cell and its structure 01

Resting and Action Potentials 01

Page 43 of 57

Propagation of Action Potentials 02

Nervous system – CNS –PNS – Nerve cell – Synapse 03

Cardio pulmonary system, Physiology of heart and lungs – Circulation and respiration. 03


Unit II - Virtual Instrumentation

Bioelectric Potentials – ECG 02

EEG, EMG, MEG; Bioelectric Signal recording machines 02

Electrophysiological measurements: Biopotential Electrodes - Micro, needle and surface

electrodes

02

Lead systems and recording methods –Typical waveforms 02

Bioelectric amplifiers; Interference in Biosignals 02


Unit III – Sensors

Transducers and Sensors characteristics 01

Transducers for biomedical applications– Different types –– Selection criteria 01

Transducers for Body temperature, Blood pressure& respiration rate. 01

Sensor performance characteristics 02

Intelligent sensors 02

Classify medical instruments based on different principles 02

Recent advancement in sensor technology 02


Unit IV - Data Acquisition Methods

Introduction to Medical Imagining equipment’s 01

Characteristics, generation and application of x-ray 02

Ultrasound and its applications in medical instrumentation. 02

Computer tomography, magnetic resonance imaging 02

Defibrillator Machine, blood cell counter, blood gas analyzer 02



Books*/

References

1. R.S.Khandpur Hand Book of Bio-Medical instrumentation, Tata McGraw Hill, Publishing Co Ltd.,

2003.

2. Leslie Cromwell, Fred J Weibell, Erich A. Pfeiffer, Biomedical Instrumentation and Measurements,

2ndedition, Prentice Hall of India. J. J. Carr & M Brown Introduction to Biomedical Equipment

Technology

3. John G Webster Medical Instrumentation, John Wiley & Sons, 2005

4. NPTEL lectures/notes and MIT open courseware

5. Relevant journals/ Magazines / Transaction papers.

Course

Assessment/

Evaluation/

Grading

Policy

Sessional





Total 100 Marks

CO-PO Mapping


CO 1 x x x

CO 2 x x

CO 3 x x

CO 4 x x

Page 44 of 57

Course Title Bio Signal Processing


Credit Value 4

Course Category DE

Pre-requisite -



Course

Objectives

To understand the basic signals in the field of biomedical with study of origins and characteristics of some of

the most commonly used biomedical signals, including ECG, EEG, evoked potentials, and EMG. Sources

and characteristics of noise and artifacts in bio signals. To understand use of bio signals in diagnosis, patient

monitoring and physiological investigation.

Course

Outcomes


1. Recognize various methods of acquiring bio signals.

2. Describe various sources of bio signal distortions and its remedial techniques.

3. Analyze ECG and EEG signal with characteristic feature points.

4. Diagnosing with bio-signals and classifying them.

Syllabus


Module-I

Introduction

Introduction to Biomedical Signals 01

Examples of Biomedical signals - ECG, EEG, EMG 02

Tasks in Biomedical Signal Processing 02

Origin of bio-potentials 03


Module-II

Bio signals analysis

Introduction & Fourier Transform review 02

Time Frequency Analysis of biomedical signals 01

Processing of Random & Stochastic signals - spectral estimation 02

Properties and effects of noise in biomedical instruments 02

Filtering in biomedical instruments 02

Bio signals classification & diagnosis 01


Module-III

ECG

Basic ECG 02

Electrical Activity of the heart 02

ECG data acquisition 02

ECG parameters & their estimation 02

ECG Signal Processing - Noise & Artifacts; 02


Module-IV

EEG

Introduction 01

The Electro-encephalogram - EEG rhythms & waveform 02

Categorization of EEG activity 02

Recording techniques EEG applications 01

Modeling and analysis of EEG 02

Artifacts in EEG & their characteristics and processing. 02

Other bio signals. 02



Books*/ 1. F. M. Rangayyan Biomedical Signal Analysis: A Case-Study Approach, Wiley, 2002

Page 45 of 57

References

2. D. C. Reddy Biomedical Signal Processing: Principles and Techniques, TMH, New Delhi, 2005.

3. E. N. Bruce Biomedical Signal Processing and Signal Modeling, Wiley, 2009

4. NPTEL lectures/notes and MIT open courseware

5. Relevant journals/ Magazines / Transaction papers.

Course

Assessment/

Evaluation/

Grading

Policy

Sessional





Total 100 Marks

CO-PO Mapping

POs a b C d e f g h i

CO 1 x x

CO 2 x x

CO 3 x x

CO 4 x x x

Course Title Process Automation

Course Number EEE6190

Credit value 4

Course Category DE

Pre-requisite Basic Instrumentation and Control systems

Contact Hours (L-G-P) 3-1-0 (L-G-P)


Course Objectives To get adequate knowledge about the characteristics of various controller modes and

methods of tuning of controllers, to study various process control schemes, to study the

construction, characteristics and application of actuators and final control elements,

programmable logic controllers and their applications. This course provides an overall

exposure to the technology of process Automation as widely seen in factories of all types

both for discrete and continuous manufacturing.

Course outcomes At the end of the course the students will be able to:

1. Understand different types of process and measurement of process variables.

2. Design of various control schemes, and to apply them in various processes.

3. Have the knowledge of actuators and final control

4. Implement programmable logic controllers and SCADA.

Modules Lecture

Module-I Architecture of Process Automation Systems

Introduction, measurement systems characteristics, feed forward control ratio control, batch

control, sensors and transducers for measurement of process variables.

Home assignment / quiz/presentation

12

Module-II Control actions and Tuning

Controller modes discontinuous and continuous, Proportional, integral, derivative control

actions, fractional order controller, Process loop tuning, Ziegler Nichol`s method,

Frequency response methods of tuning, Design examples using software, Home

Assignment / Quiz/Presentation

12

Module-III Hydraulic and Pneumatic systems.

Hydraulic Actuators and controllers, Pneumatic actuators and controllers Electrical and

electronic Actuators and controllers, types of Control valve and their characteristics. Home

Assignment / Quiz/Presentation

12

Module-IV Programmable logic controllers (PLC)and SCADA

Definition, overview of PLC systems, Input/output modules, PLC information and

communication techniques Ladder logic diagram PLC operation, programming,

12

Page 46 of 57

Applications of PLC, Direct Digital Control (DDC). Supervisory Control and Data

Acquisition Systems (SCADA). Computer aided control of Power Plants

Home Assignment / Quiz/Presentation

Total Lectures 48

Books/ References

References:

1. Industrial Instrumentation, Control and Automation, S.

Mukhopadhyay, S. Sen and A. K. Deb, Jaico Publishing House,

2013

2. *C. D. Johnson, Process control Instrumentation Technology, PHI,

Eight edition.

3. Chemical Process Control, An Introduction to Theory and Practice,

George Stephanopoulos, Prentice Hall India, 2012

4. Electric Motor Drives, Modelling, Analysis and Control, R.

Krishnan, Prentice Hall India, 2002

5. Hydraulic Control Systems, Herbert E. Merritt, Wiley, 1991

http://nptel.ac.in

6. Singh S.K, “Process control Concepts, dynamics, and Applications”

Prentice Hall India - 2010

7. John. W. Webb, Ronald A Reis Programmable Logic Controllers” –

Principles and Applications, Third edition, Prentice Hall Inc., New

Jersey, 1995

8. C.D. Johnson*,” Process Control Instrumentation Technology”

Prentice Hall India.

9. W. Bolton Programmable Logic Controllers Fourth Edition

(Elsevier)

Course Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

Course Title Power Electronics Circuit Modelling and Simulation


Credit Value 4

Course Category DE

Pre-requisite Nil



Course

Objectives To develop concept of modelling of Power Electronic Converters and designing of controller circuit

Course

Outcomes


1. develop modelling skills for Power Electronic Converters and its components

2. develop and design controllers for Power Electronic Converters

3. design and analyze magnetic circuits used in Power Electronic circuits

4. simulate Power Electronic Converters

Syllabus


Module-I

Principles of steady state converter analysis:

Inductor Volt-sec balance, Capacitor Charge balance, and the small ripple

approximation

01

Steady state equivalent circuit modelling, losses and efficiency 02

Page 47 of 57

Converter power circuits and discontinuous conduction mode 02

AC equivalent circuit modelling, state space averaging 03

Circuit averaging and average switch model with example of a converter 02


Module-II

Control of Converters

Review of Bode Plot 01

Converter Transfer function and its analysis 03

Controller Design, Effect of negative feedback, Closed-loop Transfer function,

Stability

03

Regulator Design for more than one converter circuit 04


Module-III

Design of Magnetics Circuit

Basic Magnetic Theory, Transformer modelling, Loss mechanism in magnetic

devices

02

Filter Inductor Design, constraints and procedure 03

Transformer Design, constraints and procedure 03

AC inductor design procedure 02


Module-IV

Power Electronic Circuit Simulation

Introduction to different simulation softwares 01

Review of non-linear circuit simulation 02

Methods of transient simulation 02

Dynamic simulation and performance evaluation of switched mode power

converters

03

Closed loop control of power converters 03



Books*/

References

1. Ned Mohan et al, “Power Electronics” John Wiley (SEA), 3rd

Ed

2. *Robert W Erickson et al, “Fundamental of Power Electronics” 2nd

edition Kluwer Academic

Publishers, USA, 2001M. B. Patil et al, “Simulation of Power Electronic Circuits” Narosa

Publishing House, 2009.

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

CO-PO Mapping

POs a b c d e f g h I

CO 1 x x x x x x

CO 2 x x x x x x

CO 3 x x x x x x

CO 4 x x x x x x

Course Title Solar Thermal Systems


Credit Value 4

Page 48 of 57

Course Category Elective

Pre-requisite Nil



Course

Objectives

To impart knowledge of measurement and prediction of solar radiation; performance analysis of solar

thermal systems for domestic and industrial applications.

Course

Outcomes

After successful completion of this course, the students will be able to:

1. predict direct and diffuse radiation on different dates, times and locations.

2. apply solar radiation measurement methods.

3. analyze the performance of solar thermal collectors.

4. use solar energy for distillation, drying, cooking, heating and cooling in buildings and power

generation.

Syllabus

Topic Lecture

Unit I: Solar Radiation

Solar Radiation: Extra-terrestrial and terrestrial solar radiation 2

Solar Time, Solar radiation geometry 3

Radiation on inclined surface, Solar radiation data 3

Measurement of solar radiation 1

Empirical Equations for estimation of solar radiation 3

Unit II: Flat Plate Collectors

Flat plate collectors; Basic energy balance equation 1

Transmissivity of the cover system, Transmissivity-absorptivity product 2

Overall loss coefficient and heat transfer correlations 2

Useful energy collection in liquid flat plate collector, collector efficiency factor 2

Collector heat removal factor, efficiency of flat plate collector 1

Effect of various parameters on performance of plat plate collectors, selective coatings, etc. 2

Transient analysis of flat plate collectors 1

Testing procedure of flat plate collectors 1

Unit III: Solar Air Hater

Solar air hater; types and applications 1

Performance analysis of conventional air heaters 2

Solar water heating system 1

Concentrating collectors; types and applications 2

Solar distillation, Thermal analysis of solar still 4

Solar dryers; types and applications 2

Unit IV: Solar Cooking

Solar cooking; Testing procedure of solar cooker 2

Solar thermal power generation 2

Solar thermal energy storage; types, analysis of liquid storage tank 3

Active and passive heating & cooling of buildings 5


Books*/

References

1. Solar Engineering of Thermal Processes by Duffie & Beckman;, Willey & Sons.

2. Principles of Solar Engineering by Goswami, Kreider & Kreith; Taylor & Francis.

3. Solar Energy: Principles Thermal collection and Storage by S.P. Sukhatme and J.K.

Nayak, Tata McGraw Hill.

4. Solar Heating and Cooling: Active and Passive Design by Kreider & Kreith, Hemisphere Publishing

Corporation.

5. Solar Energy: Fundamentals, Design, Modelling and Applications by G. N. Tiwari, Narosa Publising

Page 49 of 57

House

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

CO-PO Mapping


CO 1 x x x

CO 2 x x x x x x

CO 3 x x x

CO 4 x x x x x x

Course Title Non-Linear Systems and Control


Credit Value 4

Course Category DE

Pre-requisite Engineering Mathematics, Control Systems



Course

Objectives

To develop the understanding of the dynamic behavior of non-linear systems and to introduce the

methods for the stability analysis and controller design for non-linear systems

Course

Outcomes

After completing the course, the students should be able to:

1. represent non-linear systems in various forms for the analysis of their dynamic behavior.

2. implement Lyapunov`s stability theory for non-linear systems.

3. analyze the non-linear systems in frequency domain using mathematical tools and to appreciate

various non-linear control design methods.

4. design a controller for non-linear systems using linearization, small gain and passivity principals.

Syllabus

Module Topic Lectures

Module I

State-space representation of nonlinear systems, Basic characteristics of

nonlinear systems, Phase plane analysis, Classification of equilibrium points,

Systems with multiple equilibria. Analysis of piecewise linear control systems:

Feedback systems in standard form and Classification of nonlinearities.

Describing functions. Limit cycle analysis of control systems.

12

Module II

Lyapunov Stability Theory: Mathematical preliminaries: Linear vector spaces -

Norms and inner products, Normed and inner product spaces, Nonlinear

differential equations - Existence and uniqueness. Lyapunov’s direct method:

Definite functions, Stability and instability theorems. La Salle theorems:

Stability of linear systems - Lyapunov equation for time-invariant systems,

Stability conditions for time varying systems. Lyapunov’s linearization

(indirect) method. Region of attraction.

12

Module III

Frequency Domain Analysis of Feedback Systems: Absolute stability (Lure)

problem, Kalman-Yakubovitch lemma, Circle criterion, Popov’s theorem.

Nonlinear Control Design Methods: Sliding Mode Control, Robust Control of

Nonlinear Systems, Backstepping.

12

Module IV Feedback Linearization: Lie derivatives and Lie brackets, Input-state

linearization of SISO systems, Input-output linearization of SISO systems.

Input-Output Stability: Function spaces. Input-output stability. Small-gain

theorem - Circle criterion. Passivity - Circle criterion, Popov criterion. Control

12

Page 50 of 57

design using input-output methods


Books*/

References

1. H. K. Khalil, “Nonlinear Systems,” Prentice Hall, N.J., 2002.

2. H. J. Marquez, Nonlinear Control Systems: Analysis and Design, John Wiley Inter science, 2003.

3. J. J. Slotine and W. Li Applied Nonlinear Control, Prentice-Hall, 1991.

4. M. Vidyasagar, Nonlinear Systems Analysis, SIAM, 2002

Course

Assessment/

Evaluation/

Grading Policy

Sessional





Total 100 Marks

COs-POs Mapping

POs

a. b. c. d. e. f. g. h. i.

COs

CO1 x x x

CO2 x x x

CO3 x x x x x

CO4 x x x X x x

Course Title Optimization Techniques


Credit Value 4

Course Category OE

Pre-requisite Mathematics at graduation level



Course

Objectives

To study optimization techniques used in solving various engineering optimization problems. To learn

classical as well as advance optimization techniques and apply it to solve real world problems in the field

of engineering.

Course

Outcomes


1. Understand the advantages and limitations of classical and advance optimization techniques.

2. Formulate the various optimization problems and identify the suitable optimization techniques for

their solution.

3. Analyze the performance of various optimization techniques for an electrical engineering

optimization problem.

4. Solve the real-world problems in the field of engineering and technology.

Syllabus

Unit Topic L+G

Unit I

Introduction to optimization:

Historical development and engineering applications of optimization.

Classification of optimization problems, Classical optimization techniques, Single-variable and multivariable optimization with no constraints.

12

Unit II

Constrained optimization techniques:

Multivariable optimization with equality constraints: Solution by Direct

substitution method, Solution by Lagrange multipliers method.

Multivariable Optimization with Inequality Constraints:

Kuhn–Tucker Conditions, solution of multivariable optimization problems

with inequality constraints using Kuhn–Tucker conditions.

12

Unit III Linear Programming:

Standard form of a linear programming problem, Solution of a system of

12

Page 51 of 57

linear simultaneous equations, Simplex algorithm, Two phases of the

simplex method, Revised simplex method, Duality in linear programming

Unit IV

Non-linear Programming:

Unimodal function, Unrestricted Search, Exhaustive Search, Dichotomous

Search, Fibonacci method, Golden Section method.

Dynamic Programming, Modern heuristic optimization techniques: GA,

PSO, DE.

12

Total (L+G) 48

Books*/

References

1. *S. S. Rao, “Engineering Optimization: Theory and Practice”, New Age Publication 1998.

2. R. Venkata Rao, Vimal J. Savsani, “Mechanical design Optimization using Advanced

Optimization Techniques”, Springer, 2012.

3. Relevant Journals/Magazines/IEEE Transaction papers.

Course

Assessment/

Evaluation/

Grading Policy

Sessional

Assignments 15 Marks




Total 100 Marks

CO-PO Mapping


CO 1 x x x

CO 2 x x x

CO 3 x x x x x x

CO 4 x x x x x

EE-638N FACTS DEVICES

Concept of power flow and stability; Basic theory of line compensation; Line compensation by passive type of reactive

power compensators: TCR, TSC, FC-TCR, TSC-TCR and Series capacitor; Active type compensators and FACTS Devices:

STATCOM, TCSC, GCSC, SSSC, UPSC, IPFC, TCVR and TCPAR.

Load compensation: Passive load compensation; Application of DSTACOM, DVR and UPQC in Distribution system,

Custom power based equipments.

Books:

1. N.G. Hingorani and L. Gyugyi “Understanding FACTS”, IEEE Press, New Tork.

2. R.MohanMathur and Rajiv K. Varma,

“Thyristor

Based FACTS Controller for Electrical Transmission System”, IEEE

Press, John Wiley and Sons. 2002.

3. K.R. Padiyar FACTS Controllers in Power Transmission and Distribution”New

Age International, 2009.

4. R.M. Mathur (Edited) “Static Compensators for Reactive Power Control”

ContextPublication, Winnipeg, 1984.

5. T.J.E. Miller “Reactive Power Control in Power System, John Wiley and Sons.

1982.

EE-639N HVDC POWER TRANSMISSION

HVDC Transmission: Review of basic concepts, comparative advantages over HVAC. System control, voltage stability

with HVDC links. Multi-terminal DC systems types, control and applications, power flow analysis in AC/DC

system.Flexible AC transmission (FACTS) technology. FACTS devices and controllers: SVC, STATCOM, TCSC, TCPAR,

UPFC. Modeling of FACTS Controllers; System static performance improvement with FACTS controllers.

Page 52 of 57

Books :

1. K.R. Padiyar HVDC Power Transmission Systems Technology and System

Interaction; Wiley Eastern.

2. N.G. Hingorani& L.I. Gyugyo Understanding FACTS: Concepts and Technology of Flexible AC

Transmission systems; Standard Pub.

3. C.W. Taylor Power System Voltage Stability; McGraw Hill

EEC6440 CONDITION MONITORING OF POWER SYSTEM EQUIPMENTS

Preventive maintenance and its need, Diagnostic testing, Necessity of Condition monitoring, Causes of Insulation

degradation, Basic testing techniques.

Traditional Condition assessment techniques for Oil paper composite insulation, Moisture in oil paper Composite insulation.

Dielectric response measurement, Polarization mechanisms in dielectrics, Polarization and Depolarization Current

measurement, Dielectric response function and insulation model.

Condition monitoring of transformers, switchgears, insulators.

Books:

1. Ryan, Hugh M, “ High Voltage Engineering & testing”, 2nd

edition, Shankar Book Agency Pvt. Ltd. For , IET, ISBN

978-81-908588-7-8.

2. Ramu T S &Nagamani H N, “ Partial Discharge based Condition monitoring of high voltage equipment” New Age

Publisher 2010, ISBN 978-81-224-3092-9

3. James, Ron E & Qi Su, “ Condition Assesment of High Voltage Insulation Power system equipment”, IET

EEC6430 HIGH VOLTAGE TESTING TECHNIQUES

Need and importance of impulse testing.Study of impulse voltage and current generators; Method of wave shaping and

oscillographic measurement; Volt-time characteristics of rod-rod, sphere-sphere, rod-plane gaps.Volt-time characteristics of

insulators, bushings, lightning arresters, current testing of lightning arresters; Testing of dielectrics, insulating materials;

Testing of transformers, Capacitors and cables.

Books:

1. D M Kazarno Testing of Electrical Insulating Materials, MIR Publications Moscow

2. F.H Kreuger Discharge detection in high voltage equipment Temple Press Ltd. London, 1964

3. Craggs& Meek High Voltage Laboratory Technique, Butterworth, London

4. IEEE Transactions on Dielectrics and Insulation

5. Recent standards

EEC6420 HIGH VOLTAGE GENERATION & MEASUREMENT

Generation of High Direct Voltages - Simple rectifier circuits, cascaded circuits: Cockroft-Walton circuit, Electrostatic

generators; Generation of High Alternating Voltages - Testing transformers, cascaded transformers, resonant transformers;

Generation of Impulse Voltages and Currents - Single stage and multistage impulse generator circuits, Tripping and control

of impulse generators. High Voltage Measurement techniques - Peak Voltage Measurement by spark gaps; Chubb-Fortescue

Method; potential dividers; impulse voltage and current measurements, Layout and clearances of High Voltage Lab.

Books/References:

1. E. Kuffel, , W.S. Zaengl,

and J. Kuffel

High Voltage Engineering Fundamentals, Elsevier India

Pvt. Ltd, 2005

2. M.S. Naidu and V. High Voltage Engineering, Tata McGraw-Hill Publishing

Page 53 of 57

Kamaraju Company Ltd., New Delhi.

3. Craggs& Meek High Voltage Laboratory Technique, Butterworths,

London


EEE6570 INSULATION TECHNOLOGY FOR SUPERCONDUCTORS

Superconductivity- critical magnetic field, Meissner effect, Low and High temperature Superconductors, Electric power

application of Superconductivity; Properties of cryogenic fluids: breakdown characteristics under uniform & non- uniform

fields, area and volume effects; dielectric loss; Electrical insulating materials at cryogenic temperature: dielectric behavior,

breakdown strength, Impulse characteristics, internal discharges & ageing; Recent progress in electrical insulation systems.

Books/References:

1. Dr. Adir Luiz Superconductivity Theory and Applications, InTech

2. K.Fossheim Handbook on Superconducting Tech., World Scientific Pub. Company

3. M.S.Naidu H.V. Engineering, Tata McGraw Hill


5. Journal of Applied Physics-D

Documents

Annexure- III · braking, plugging and Dynamic braking. Converter controlled dc drives: co ntinuous and discontinuous conduction modes of operation. Chopper controlled drives. Comparison