DocumentCode :
3199842
Title :
Model reference adaptive fuzzy controller for induction motor using auto-attentive approach
Author :
Dessouky, A.E. ; Tarbouchi, Mohammed
Author_Institution :
Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, Ont., Canada
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
719
Abstract :
This paper presents a model reference adaptive fuzzy speed controller for induction motor using the auto-attentive approach. It consists of developing an adaptive controller that can track the change of the operating point and the plant parameters even in magnetic saturation mode. The adaptive mechanism should be fast enough for all the tracking process. The proposed approach helps to increase the accuracy of the controller around the set point and keep the number of the roles in the rule-base as low as possible. This would minimize the computation complexity and enhance the system performance
Keywords :
control system analysis; control system synthesis; fuzzy control; induction motors; learning (artificial intelligence); machine control; machine theory; model reference adaptive control systems; velocity control; computation complexity; control design; control simulation; induction motor; magnetic saturation mode; model reference adaptive fuzzy speed controller; operating point tracking; plant parameters tracking; Adaptive control; Control systems; Educational institutions; Fuzzy control; Fuzzy logic; Humans; Induction motors; Machine learning; Programmable control; Saturation magnetization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2000. ISIE 2000. Proceedings of the 2000 IEEE International Symposium on
Conference_Location :
Cholula, Puebla
Print_ISBN :
0-7803-6606-9
Type :
conf
DOI :
10.1109/ISIE.2000.930387
Filename :
930387
Link To Document :
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