JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Prerequisites

Power Electronics, Electronic devices and circuits

Course objectives:

• To understand various modes of operation of DC-DC Converter
• To analyze control aspects of converter
• To design various Switched Mode Power Supply components
• To get awareness on EMI, Protection of converter system

Course Outcomes

Upon the completion of the course the student will be able to

• Analyze various modes of operation of Dc-Dc converter
• Design different controllers for converter
• Design various components of dc-dc converter
• Analyze dc-dc converter in view of EMI and thermal considerations

UNIT - I

Basic Converter Circuits: Buck Regulator, Buck- Boost Regulator, Boost Regulator, Cuk Converters and Resonant Converters. Choice of switching frequency.

UNIT - II

Isolated SMPS: Fly back Converter, Forward Converter, Half-Bridge and Full Bridge Converters, Push-Pull Converter and SMPS with multiple outputs. Choice of switching frequency.

UNIT - III

Control Aspects: PWM Controllers, Isolation in feedback loop, Power Supplies with multiple output. Stability analysis using Bode Diagrams.

UNIT - IV

Design Considerations: Selection of output filter capacitor, Selection of energy storage inductor, Design of High Frequency Inductor and High frequency Transformer, Selection of switches. Snubber circuit design, Design of driver circuits.

UNIT - V

Electro Magnetic Interference (EMI): EMI Filter Components, Conducted EMI suppression, Radiated EMI suppression, Measurement. Protection: Over current protection, over voltage protection, Inrush current protection. Thermal Model: Thermal Resistance, Cooling Considerations, Selection of Heat sinks, Simple Heat sink calculations.

TEXT BOOKS:

• 1. Switched Mode Power Supplies, Design and Construction, H. W. Whittington, B. W. Flynn and D. E. MacPherson, Universities Press, 2009 Edition.
• 2. Mohan N. Undeland . T & Robbins W., Power Electronics Converters, Application and Design. John Wiley, 3rd edition, 2002
• 3. Umanand L., Bhat S.R., Design of magnetic components for switched Mode Power Converters. , Wiley Eastern Ltd.,1992
• 4. Robert. W. Erickson, D. Maksimovic .Fundamentals of Power Electronics., Springer International Edition, 2005
• 5. Course Material on Switched Mode Power Conversion, V. Ramanarayanan.

REFERENCE BOOKS:

• 1. Krein P.T .Elements of Power Electronics., Oxford University Press
• 2. M. H. Rashid, Power Electronics. Prentice-Hall of India M. Tech – I Year – II Sem. (PE/PEED/PID) AI Techniques in Electrical Engineering (Professional Elective – III)

Course Objectives:

• To locate soft commanding methodologies, such as artificial neural networks, Fuzzy logic and genetic Algorithms.
• To observe the concepts of feed forward neural networks and about feedback neural networks.
• To practice the concept of fuzziness involved in various systems and comprehensive knowledge of fuzzy logic control and to design the fuzzy control
• To analyze genetic algorithm, genetic operations and genetic mutations.

Course Outcomes

Upon the completion of this course, the student will be able to

• Understand feed forward neural networks, feedback neural networks and learning techniques.
• Analyze fuzziness involved in various systems and fuzzy set theory.
• Develop fuzzy logic control for applications in electrical engineering
• Develop genetic algorithm for applications in electrical engineering.

UNIT - I

Artificial Neural Networks: Introduction-Models of Neural Network - Architectures – Knowledge representation – Artificial Intelligence and Neural networks – Learning process – Error correction learning – Hebbian learning – Competitive learning – Boltzman learning – Supervised learning – Unsupervised learning – Reinforcement learning - learning tasks.

UNIT - II

ANN Paradigms : Multi – layer perceptron using Back propagation Algorithm-Self – organizing Map – Radial Basis Function Network – Functional link, network – Hopfield Network.

UNIT - III

Fuzzy Logic: Introduction – Fuzzy versus crisp – Fuzzy sets - Membership function – Basic Fuzzy set operations – Properties of Fuzzy sets – Fuzzy cartesian Product – Operations on Fuzzy relations – Fuzzy logic – Fuzzy Quantifiers - Fuzzy Inference - Fuzzy Rule based system - Defuzzification methods.

UNIT - IV

Genetic Algorithms: Introduction-Encoding – Fitness Function-Reproduction operators - Genetic Modeling – Genetic operators - Crossover - Single–site crossover – Two-point crossover – Multi point crossover-Uniform crossover – Matrix crossover - Crossover Rate - Inversion & Deletion – Mutation operator –Mutation – Mutation Rate-Bit-wise operators - Generational cycle-convergence of Genetic Algorithm.

UNIT - V

Applications of AI Techniques: Load forecasting – Load flow studies – Economic load dispatch – Load frequency control – Single area system and two area system – Small Signal Stability (Dynamic stability) Reactive power control – speed control of DC and AC Motors.

TEXT BOOK:

• 1. S. Rajasekaran and G. A. V. Pai, “Neural Networks, Fuzzy Logic & Genetic Algorithms”- PHI, New Delhi, 2003.

REFERENCES:

• 1. P. D. Wasserman, Van Nostrand Reinhold, ”Neural Computing Theory & Practice” - New York, 1989.
• 2. Bart Kosko, ”Neural Network & Fuzzy System” Prentice Hall, 1992.
• 3. G. J. Klir and T. A. Folger, ”Fuzzy sets, Uncertainty and Information”-PHI, Pvt.Ltd,1994.
• 4. D. E. Goldberg,” Genetic Algorithms”- Addison Wesley 1999 M. Tech – I Year – II Sem. (PE/PEED/PID)