Fuzzy neural network based estimation of power electronic waveforms

M. Godoy Simões; Bimal K. Bose

doi:10.18618/REP.1996.1.064070

Authors

M. Godoy Simões Escola Politécnica da Universidade de São Paulo Departamento de Engenharia Mecânica - Mecatrônica Av. Prof. Mello Moraes, 2231 05508-900 São Paulo / S. Paulo
Bimal K. Bose Department of Electrical Engineering The University of Tennessee Knoxville, TN 37996 USA

DOI:

https://doi.org/10.18618/REP.1996.1.064070

Abstract

Neural networks and fuzzy logic are showing a good promise for application in power electronics and motion control systems. They have been applied in feedback control of converter and drives, estimation of waveforms and signals, and performance enhancement control. Fuzzy logic and neural networks are appropriate where the plant model is ill-defined, non-linear and has parameter variation problems. Besides, such technologies have distinct advantages when compared to a digital signal processor (DSP) based implementation, like fast response, robustness and immunity to harmonic noise. They are model-free estimators since they "learn from experience" with numerical and linguistic data. The present work uses a fuzzy-neural-network (FNN) where a neural network topology emulates fuzzy reasoning. Such neural network permits automatic identification of fuzzy rules and tunes the membership functions. The distorted line current waves in a threephase diode rectifier feeding an inverter-machine load have been taken into consideration and a FNN has been applied to estimate rms current and fundamental rms current. The results of the estimation have been compared with the actual values, and indicate good accuracy. Although the paper considers a relatively simple estimation problem, the fuzzy-neural-network technique can be extended to more complex waveforms and in the estimation of signals of scalar or vector-control drives.

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Author Biographies

M. Godoy Simões, Escola Politécnica da Universidade de São Paulo Departamento de Engenharia Mecânica - Mecatrônica Av. Prof. Mello Moraes, 2231 05508-900 São Paulo / S. Paulo

was born in São Paulo, Brazil, on February 03, 1963. He received his Bachelor of Science degree in Electrical Engineering from “Escola Politécnica da Universidade de São Paulo” on December 1985. Upon graduation he worked for “Fundagdo para o Desenvolvimento Tecnologico da Engenharia - FDTE,” a research institution that belongs to The University of São Paulo, for three years. He also ran a small company for development of switching power supplies. He has been a professor at the University of São Paulo (Brazil) since 1989, and obtained his Master of Science degree in July, 1990, at the University of São Paulo. He was awarded a Brazilian scholarship to pursue his doctoral degree at The University of Tennessee, Knoxville, where he actively worked in the research of fuzzy logic and neural networks applications to power electronics, drives and machines control. During his doctoral studies at The University of Tennessee, he published five papers in IEEE conferences, where two of them were accepted for publication in IEEE Transactions. He has also two patents pending for the new strategies presented in his Ph.D. dissertation for control of drives and performance enhancement of wind generation systems. He received the Doctor of Philosophy degree in December, 1995, and now he is working as a professor at The University of São Paulo (Brazil), doing research and development of systems on the application of artificial intelligence in power electronics and drives.

Bimal K. Bose, Department of Electrical Engineering The University of Tennessee Knoxville, TN 37996 USA

(Fellow, IEEE) received the B.E. degree from Bengal Engineering College, India, the M.S. degree from the University of Wisconsin, Madison, and the Ph.D. degree from Calcutta University, India, in 1956, 1960, and 1966, respectively. Early in his career, he served as a faculty member in Calcutta University (Bengal Engineering College) for 11 years. In 1971, he joined Rensselaer Polytechnic Institute, Troy, NY, as Associate Professor of Electrical Engineering, and in 1976, he came to General Electric Corporate Research and Development, Schenectady, NY, as Electrical Engineer and served there for 11 years. He currently holds the Condra Chair of Excellence in Power Electronics at The University of Tennessee, Knoxville, where he has been responsible for organizing power electronics teaching and research programs. He is also the Distinguished Scientist (formerly, Chief Scientist) of EPRI-Power Electronics — Applications Center, Knoxville, Honorary Professor of Sanghai University of Technology, China, and Senior Advisor of Beijing Power Electronics Research and Deve}opment Center, China. His research interests are power converters, ac drives, microcomputer control, and applications of expert systems, fuzzy logic, and neural network in power electronics. He has published more than 100 papers in international conferences and authored five books in power electronics and ac drives.

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