DocumentCode :
293437
Title :
Dynamic fuzzy control method and its application to positioning of induction motor
Author :
YUBAZAKI, Naoyoshi ; OTANI, Masayuki ; ASHIDA, Takatsugu ; Hirota, Kaoru
Author_Institution :
Res. & Dev. Div., Mycom Inc., Kyoto, Japan
Volume :
3
fYear :
1995
fDate :
20-24 Mar 1995
Firstpage :
1095
Abstract :
A fuzzy control method incorporating a time series concept is presented and applied to the positioning of an induction motor with genetic algorithm (GA) tuning. The method is consisted of a fuzzy inference management part and several fuzzy inference groups for various situations based on virtual paging method of fuzzy inference
Keywords :
fuzzy control; genetic algorithms; induction motors; inference mechanisms; machine control; time series; dynamic fuzzy control; fuzzy inference management; genetic algorithm tuning; induction motor positioning; time series; virtual paging method; Adaptive control; Control engineering; Control systems; Fuzzy control; Fuzzy systems; Genetics; Induction motors; Inference algorithms; Production systems; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
Type :
conf
DOI :
10.1109/FUZZY.1995.409820
Filename :
409820
Link To Document :
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