[article] 
in COST > N° 10 [01/01/2012] . - p. 129

Titre :	A Comparative study of PI, IP and neuro-fuzz controllers for induction motor drives
Type de document :	texte imprimé
Auteurs :	N. Benharir, Auteur ; Mokhtar Zérikat, Auteur ; S. Chekroun, Auteur ; A. Mechernene, Auteur
Année de publication :	2012
Article en page(s) :	p. 129
Langues :	Anglais
Mots-clés :	Induction motor drives  vector control  PI  IP  ANFIS controller.
Résumé :	This paper presents the comparative study of PI, IP-types and hybrid Neuro-Fuzzy control strategy for high-performance induction motor drives. Speed control performance of induction motors is affected by parameter variations and nonlinearities in the induction motor. Both the design of the PI, IP and ANFIS controller and its integration in the direct field control are discussed. The proposed control the scheme is to improve the performance and robustness of the PI, IP and neuro-fuzzy controller induction motor drives under no linear loads and parameter variations. The neuro-fuzzy controller assures excellent quality in terms of tracking, and disturbance rejection with high robustness comparative PI and IP controller. The effectiveness and feasibility of the structure developed is verified by several simulation tests with different operating conditions.

[article] A Comparative study of PI, IP and neuro-fuzz controllers for induction motor drives [texte imprimé] / N. Benharir, Auteur ; Mokhtar Zérikat, Auteur ; S. Chekroun, Auteur ; A. Mechernene, Auteur . - 2012 . - p. 129.
Langues : Anglais
in COST > N° 10 [01/01/2012] . - p. 129

Mots-clés :

Induction motor drives  vector control  PI  IP  ANFIS controller.

Résumé :

This paper presents the comparative study of PI, IP-types and hybrid Neuro-Fuzzy control strategy for high-performance induction motor drives. Speed control performance of induction motors is affected by parameter variations and nonlinearities in the induction motor. Both the design of the PI, IP and ANFIS controller and its integration in the direct field control are discussed. The proposed control the scheme is to improve the performance and robustness of the PI, IP and neuro-fuzzy controller induction motor drives under no linear loads and parameter variations. The neuro-fuzzy controller assures excellent quality in terms of tracking, and disturbance rejection with high robustness comparative PI and IP controller. The effectiveness and feasibility of the structure developed is verified by several simulation tests with different operating conditions.