A robust integrator algorithm with genetic based fuzzy controller feedback for direct vector control

The voltage model used for direct vector control has in the flux calculation process an open integration problem, which is generally solved with a feedback loop. In this paper, a new design method is developed for the feedback loop of the integrator. The method, as apart from standards in the litera...

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Bibliographic Details
Published in:Computers & electrical engineering 2003-05, Vol.29 (3), p.379-394
Main Authors: Akın, Erhan, Kaya, Mehmet, Karakose, Mehmet
Format: Article
Language:English
Subjects:
Flux estimation
Fuzzy controller
Genetic algorithm
Induction motor
Vector control
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Summary:The voltage model used for direct vector control has in the flux calculation process an open integration problem, which is generally solved with a feedback loop. In this paper, a new design method is developed for the feedback loop of the integrator. The method, as apart from standards in the literature, uses a fuzzy controller. Fuzzy controllers are knowledge-based systems that include fuzzy rules and fuzzy membership functions to incorporate human knowledge into their knowledge base. The determination of these rules and membership functions is one the key problems when designing fuzzy controllers, and is generally affected by subjective decisions. In this study, a fuzzy controller with rules and membership functions determined by genetic algorithms (GAs) in this study is designed and tested on various motors of different power ratings. The proposed method is simulated by using MATLAB/SIMULINK and implemented on an experimental system using a TMS320C31 digital signal processor.
ISSN:0045-7906
1879-0755
DOI:10.1016/S0045-7906(01)00041-6