Modeling And Control Of Switched Reluctance Motor Drives Based On Setpoint Relay

Laurinda L.N.  dos Reis; A.A.R. Coelho; O.M. Almeida; R.N.C. Almeida

doi:10.18618/REP.2008.3.163170

Authors

Laurinda L.N. dos Reis Federal University of Santa Catarina - UFSC-SC
A.A.R. Coelho Federal University of Cear¶a - DEE/GPAR - www.dee.ufc.br - Fax:+55-85-33669574
O.M. Almeida Federal University of Cear¶a - DEE/GPAR - www.dee.ufc.br - Fax:+55-85-33669574
R.N.C. Almeida Federal University of Cear¶a - DEE/GPAR - www.dee.ufc.br - Fax:+55-85-33669574

DOI:

https://doi.org/10.18618/REP.2008.3.163170

Keywords:

Switched Reluctance Motor, Relay Modeling, Experimental Identificationn

Abstract

This paper considers a novel ap- proach to the accurate on-line modeling of a switched reluctance motor (SRM) drive. More- over, the implementation of a simple autotun- ing technique for SRM current control based on PWM controllers using modi¯ed Ziegler-Nichols tuning method is also introduced. The proposed method is an extension of the relay feedback con- trol. It uses a setpoint relay framework to extract relevant on-line information about the process dy- namics. The proposed PWM controller has been simulated and a hardware prototype was then im- plemented with digital signal processor control to evaluate the method using a 12=8, 3-phase SRM. The experimental results of the drive model vali- date the introduced current control method.

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Author Biographies

Laurinda L.N. dos Reis, Federal University of Santa Catarina - UFSC-SC

Received the B.Sc. degree in Electrical Engineering from the Federal University of Ceara, Fortaleza, Brazil in 1979, and the M.Sc. degree in Electrical Engineering from the Federal University of Paraba, Campina Grande, Brazil in 1984, respectively. She is currently pursuing the Ph.D. degree at the Federal University of Santa Catarina, Florianopolis, Brazil. She has been a professor with the Federal University of Ceara since 1979. Her research interest areas are electrical machine drives, advanced control techniques, and nonlinear systems.

A.A.R. Coelho, Federal University of Cear¶a - DEE/GPAR - www.dee.ufc.br - Fax:+55-85-33669574

Received the B.Sc. degree in Electrical Engineering from the Federal University of Para, Belem, Brazil in 1979, the M.Sc. degree in Electrical Engineering from the Federal University of Santa Catarina, Florianopolis, Brazil in 1983, and the Ph.D. degree in Electri- cal Engineering from the State University of Campinas, Campinas, Brazil in 1991. He currently is an Associate Professor. His research interest areas are systems identi¯cation, predictive and adaptive control, computational intelligence in control, multivariable control, applied digital PID control, and control of mechatronic systems.

O.M. Almeida, Federal University of Cear¶a - DEE/GPAR - www.dee.ufc.br - Fax:+55-85-33669574

Received the B.Sc. degree in Electrical Engineering from the Federal University of Ceara, Fortaleza, Brazil in 1985, the M.Sc. degree in Electrical Engineering from the State University of Campinas, Campinas, Brazil in 1998, and the Ph.D. degree in Electrical Engineering from the Federal University of Santa Catarina, Florianopolis, Brazil in 2005. He has been a professor with the Federal University of Ceara since 1991. His research areas are electric machinery, electrical machine drives, advanced control techniques for electromechanical systems, and nonlinear systems.

R.N.C. Almeida, Federal University of Cear¶a - DEE/GPAR - www.dee.ufc.br - Fax:+55-85-33669574

Was born in Fortaleza, Brazil, in 1982. Electrical technician by Centro Federal de Educacao Tecnologica do Ceara, Fortaleza, Brazil in 2001. Received the B.Sc. degree and the M.Sc degree in Electrical Engineering from the Federal University of Ceara, Fortaleza, Brazil in 2005 and 2007 respectively. He has been a researcher in Grupo de Pesquisa em Automacao e Robotica at Federal University of Ceara, fortaleza, Brazil since 2005. His research interestareas are electric machinery, electrical machine drives, embedded systems, advanced control techniques and nonlinear systems.

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