Application Of Artificial Neural Network In The Efficient Control Of Three-phase Induction Motor

Arineu F. dos Santos; Francisco de Assis dos Santos Neves; Ronaldo Ribeiro Barbosa de Aquino; Marcelo Cabral Cavalcanti

doi:10.18618/REP.2010.2.087096

Authors

Arineu F. dos Santos Federal University of Pernambuco (UFPE) - DEE) Recife – Brazil
Francisco de Assis dos Santos Neves Federal University of Pernambuco (UFPE) - DEE) Recife – Brazil
Ronaldo Ribeiro Barbosa de Aquino Federal University of Pernambuco (UFPE) - DEE) Recife – Brazil
Marcelo Cabral Cavalcanti Federal University of Pernambuco (UFPE) - DEE) Recife – Brazil

DOI:

https://doi.org/10.18618/REP.2010.2.087096

Keywords:

Artificial Neural Network, Energy Conservation, Induction Motor Drives

Abstract

This work presents a method for increasing the efficiency of three-phase induction motor drives over the entire operation range. The direct field oriented control of induction motors, including the effects of magnetic saturation is used. The magnetic saturation effect in the machine is modeled by the non-linear magnetization curve of the iron core. Artificial neural networks are used to predict the optimum reference rotor flux to be used in the vector control. Details about the chosen neural networks are given. Simulation and experimental results are presented and the motor losses reduction during different load conditions is evaluated.

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Author Biographies

Arineu F. dos Santos, Federal University of Pernambuco (UFPE) - DEE) Recife – Brazil

was born in Recife, Brazil, in 1983. He received the B.S. and the M.S. degrees in electrical engineering from the Federal University of Pernambuco, Recife, Brazil, in 2006 and 2008, respectively. Since 2009 he is with the Department Service of Distribution of the Eletrobras Distribuio Piaui, Brazil. His research interests are artificial neural networks and electrical systems efficiency maximization.

Francisco de Assis dos Santos Neves, Federal University of Pernambuco (UFPE) - DEE) Recife – Brazil

was born in Campina Grande, Brazil, in 1963. He received the B.S. and M.Sc. degrees in electrical engineering from the Federal University of Pernambuco, Recife, Brazil, in 1984 and 1992, respectively, and the Ph.D. degree in electrical engineering from the Federal University of Minas Gerais, Belo Horizonte, Brazil, in 1999. He worked as a visiting scholar at Georgia Institute of Technology - USA, during 1999, and at Alcala University - Spain, from Feb/2008 to Jan/2009. Since 1993, he has been with the Department of Electrical Engineering, Federal University of Pernambuco, where he is currently a Professor of Electrical Engineering. His research interests include power electronics, renewable energy systems, power quality and grid synchronization methods.

Ronaldo Ribeiro Barbosa de Aquino, Federal University of Pernambuco (UFPE) - DEE) Recife – Brazil

was born in Recife, Brazil, in 1962. He received the B.S. and M.Sc. degrees in electrical engineering from the Federal University of Pernambuco (UFPE), Brazil, in 1983 and 1995, respectively, and the D.Sc. degree from the Federal University of Paraiba (UFPB) , Brazil, in 2001. Since 1995 he has been with the Federal University of Pernambuco (UFPE), where he is a full professor of the Electrical Engineering Department. His research interests concerns to applications of artificial intelligence tools, especially artificial neural networks, to load and wind forecasting, economic load dispatch, control systems, energy efficiency, power transformer and insulators diagnosis.

Marcelo Cabral Cavalcanti, Federal University of Pernambuco (UFPE) - DEE) Recife – Brazil

was born in Recife, Brazil, in 1972. He received the B.S. degree in electrical engineering in 1997 from the Federal University of Pernambuco, Recife, Brazil, and the M.S. and Ph.D. degrees in electrical engineering from the Federal University of Campina Grande, Campina Grande, Brazil, in 1999 and 2003, respectively. Since 2003, he has been at the Department of Electrical Engineering, Federal University of Pernambuco, where he is currently a Professor of Electrical Engineering. His research interests are renewable systems, power quality and three-phase matrix converters.

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