Referenced Items are not available for this document.
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:
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
(Volume:6
)
Date of Conference: 1999
- Page(s):
- 202 - 207 vol.6
- Meeting Date :
- 12 Oct 1999-15 Oct 1999
- ISSN :
- 1062-922X
- Print ISBN:
- 0-7803-5731-0
- INSPEC Accession Number:
- 6521399
- Conference Location :
- Tokyo
- Digital Object Identifier :
- 10.1109/ICSMC.1999.816520
- Product Type:
- Conference Publications
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