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   Direct adaptive fuzzy control for an induction motor drive   [View] 
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 Author(s)   M. R. Chekkouri; J. M. Moreno; A. Arias; L. Romeral 
 Abstract   In this paper an adaptive control speed for an induction motor drive is presented. The proposed adaptive scheme uses a Mamdani fuzzy controller. The parameters of the membership output function characterizing the linguistic terms in the fuzzy If-Then rules change according the adaptation. The adaptive law is developed for the purpose of tracking a reference speed. Based on the Lyapunov theory, the stability of the whole system and the convergence of the tracking error are also discussed. Computer simulations show that the effect of both the fuzzy approximations error and the external disturbance on the tracking error can be attenuated by the proposed controller. 
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Filename:EPE2003-PP1029 - Chekkouri
Filesize:315.3 KB
 Type   Members Only 
 Date   Last modified 2003-10-24 by Unknown