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Please use this identifier to cite or link to this item: http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/174

Titre: Adaptive control of induction motor with unknown motor resistance
Auteur(s): Chetate, B.
Bradai, Rafik
Kabache, N.
Mots-clés: Induction motor
Neural networks
Feedback linearization
Estimator of rotor resistance
Adaptive nonlinear rules
Issue Date: 2007
Collection/Numéro: Periodical of AMSE International/ Vol.62 (2007);p.p. 83-93
Résumé: In this paper, a new approach for induction motor rotor resistance variation estimate is presented by using adaptive neural networks. Indeed, the proposed neural networks are endowed with adaptive rules that allow them to estimate the true values of the necessary nonlinear state feedbacks for the input-output feedback linearization control of an induction motor. A comparison between the nonlinear state feedbacks provided by neural networks and those calculated through the nominal model of the induction motor with nominal parameters allows us to estimate the variation in the rotor resistance
URI: http://dlibrary.univ-boumerdes.dz:8080/jspui/handle/123456789/174
ISSN: 0761-2486
Appears in Collections:Publications Internationales

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