A neuro-fuzzy approach to design adaptive control systems for PM motor drives

Author

Cavallaro, C. ; Coco, M. ; Raciti, A. ; Testa, A.

Author_Institution

Dipartimento Elettrico Elettronico e Sistemistico, Catania Univ., Italy

fYear

1995

Firstpage

225

Lastpage

229

Abstract

The paper deals with the theoretical development and the practical implementation of an adaptive speed regulator scheme based on the Model Reference Adaptive Control approach, employing fuzzy laws for the adaptive process. A neuro-fuzzy approach for the optimization of the fuzzy adaptive laws is used to face one of the major drawbacks of the fuzzy control, the lack of a systematic optimization procedure. A performance comparison between the new controller and a conventional MRAC scheme is carried out by mean of simulations confirming the superiority of the proposed fuzzy adaptive regulator. Experimental tests are presented in order to practically evaluate the features of the proposed adaptive control scheme

Keywords

angular velocity control; fuzzy control; model reference adaptive control systems; motor drives; neurocontrollers; optimal control; phase modulation; PM motor drives; adaptive control systems; control optimization; model reference adaptive control; neuro-fuzzy approach; speed regulator scheme; systematic optimization procedure; Adaptive control; Control systems; Fuzzy control; Fuzzy systems; Logic; Motor drives; Programmable control; Regulators; Robots; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Devices, Circuits and Systems, 1995., Proceedings of the 1995 First IEEE International Caracas Conference on

Conference_Location

Caracas

Print_ISBN

0-7803-2672-5

Type

conf

DOI

10.1109/ICCDCS.1995.499149

Filename

499149