Abstract:
Presents the automatic optimal design of a fuzzy controller for an induction motor drive with vector control using two different soft-computing techniques: one based on a...Show MoreMetadata
Abstract:
Presents the automatic optimal design of a fuzzy controller for an induction motor drive with vector control using two different soft-computing techniques: one based on a genetic learning strategy, the other on an adaptive network-based fuzzy inference system algorithm. These techniques perform an automatic tuning strategy for the choice of the optimal parameters values and structures for the fuzzy controller. As a result, two different controllers are obtained. They are compared in terms of design features. Computer simulations have been carried out to compare the new controllers performances to those of a PI-based controller.
Published in: IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028)
Date of Conference: 12-15 October 1999
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-5731-0
Print ISSN: 1062-922X
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