NDLI: Fuzzy adaptation of the PI controller parameters applied for induction motor

Content Provider	IEEE Xplore Digital Library
Author	Laroussi, K. Zelmat, M.
Copyright Year	2004
Description	Author affiliation: Centre Univ. de Djelfa, Algeria (Laroussi, K.)
Abstract	Several works have been studied the use of the fuzzy logic confirming that the classical controllers have advantages compared to the fuzzy controllers: very short time of execution and mathematical precision. But, the classical controllers have a certain limitation, if rather significant variations of disturbance factors act on the system to be controlled. The classical controller does not always react in an optimal way. Thus the abilities of adaptation and robustness of this controller are limited. In the present paper, an adaptation mechanism (supervisor) for the PI gains is proposed allowing the improvement of the classical controller, introducing of a certain intelligence degree in the control strategy of the controller. Indeed, this approach associating the PI controller and a supervisor composed of fuzzy rules, offers the possibility to use the mathematical accuracy of the PI algorithm with the adaptability, the flexibility and the simplicity of the fuzzy linguistic formalism.
Starting Page	1313
Ending Page	1318
File Size	761119
Page Count	6
File Format	PDF
ISBN	0780386620
DOI	10.1109/ICIT.2004.1490751
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-08
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Induction motors Control systems Fuzzy logic Torque control Equations Stators Robust control Nonlinear control systems Force control
Content Type	Text
Resource Type	Article

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