TUTORIAL SESSION

Applications of Artificial Intelligent Techniques for Modeling of Self-Excited Induction Generators

Dr. Dheeraj Joshi
Assistant Professor, NIT Kurukshetra, India
dheeraj_joshi@rediffmail.com

Abstract

This tutorial describes the importance of artificial intelligence (AI) i.e. artificial neural network (ANN), fuzzy logic (FL) and genetic algorithm (GA) in electrical engineering with concentration on its application in electrical machines. Apart from introduction to artificial intelligence, this tutorial includes the application of MATLAB, Genetic Algorithm, Fuzzy Logic and Artificial Neural Network to model the magnetization characteristics of self-excited induction generators (SEIG). An attempt is made to use artificial intelligence for the complete modeling of SEIG. At last comparison of simulated and experimental results on different SEIGs is shown to prove the accuracy and effectiveness of AI techniques.

Objectives

To develop methodologies and create interest among researchers regarding use of AI techniques

Background Knowledge Expected of the Participants

Initial knowledge of MATLAB, AI Technique and Induction Generators

Qualifications of the Instructor(s)

Dheeraj Joshi was born on 11 July, 1978. He received B.E. (Electrical) degree from University of Rajasthan, Jaipur,India, in 1998 and M.E. (Power Apparatus and Electric Drives) degree from University of Roorkee,Roorkee,India, in 2000 and PhD (Analysis and Control of SEIG) degree from NIT Kurukshetra , India in 2010. Currently, he is Assistant Professor in Electrical Engineering Department, National Institute of Technology, Kurukshetra. His areas of interest are distributed generation, artificial intelligence, power electronics and electric drives. He has 65 publications in various International Journals/Conferences. He is reviewer/editor of various international journals i.e. IEEE Trans on Energy Conversion, Power Delivery, and Industrial Electronics etc. He is a life member of ISTE.