Title: Soft computing techniques applications to a fuzzy logic control system for an induction motor drive
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.
Publication Year: 2003
Publication Date: 2003-01-20
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 2
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