[article] 
in COST > N° 10 [01/01/2012] . - p. 139

Titre :	Sensorless vector control for induction motor drive based on an adaptive speed observer using the fuzzy-logic approach
Type de document :	texte imprimé
Auteurs :	A. Mechernene, Auteur ; Mokhtar Zérikat, Auteur ; S. Chekroun, Auteur ; N. Benharir, Auteur
Année de publication :	2012
Article en page(s) :	p. 139
Langues :	Anglais
Mots-clés :	Induction motor  field oriented control  fuzzy-logic  adaptive flux and speed observe
Résumé :	This paper proposes a sensorless speed observer method of an induction motor using fuzzy logic approach in rotor fieldoriented control system. Speed and rotor flux are estimated from only measurable variables, the stator voltages and currents. The proposed estimation algorithm uses a deterministic state observer combined with an intelligent adaptive mechanism based on fuzzy logie. The introduction of fuzzy logic is applied to achieve high-performance, a low sensitivity to parameter variations and external influences. In order to verify its performance test the behavior of the control algorithm, numerical simulations are completed. The simulation results have shown a good estimate speed and flux and an excellent tracking performance and have demonstrated convincingly the usefulness of adaptive observer based on fuzzy logic in variable speed drives with high performance.

[article] Sensorless vector control for induction motor drive based on an adaptive speed observer using the fuzzy-logic approach [texte imprimé] / A. Mechernene, Auteur ; Mokhtar Zérikat, Auteur ; S. Chekroun, Auteur ; N. Benharir, Auteur . - 2012 . - p. 139.
Langues : Anglais
in COST > N° 10 [01/01/2012] . - p. 139

Mots-clés :

Induction motor  field oriented control  fuzzy-logic  adaptive flux and speed observe

Résumé :

This paper proposes a sensorless speed observer method of an induction motor using fuzzy logic approach in rotor fieldoriented control system. Speed and rotor flux are estimated from only measurable variables, the stator voltages and currents. The proposed estimation algorithm uses a deterministic state observer combined with an intelligent adaptive mechanism based on fuzzy logie. The introduction of fuzzy logic is applied to achieve high-performance, a low sensitivity to parameter variations and external influences. In order to verify its performance test the behavior of the control algorithm, numerical simulations are completed. The simulation results have shown a good estimate speed and flux and an excellent tracking performance and have demonstrated convincingly the usefulness of adaptive observer based on fuzzy logic in variable speed drives with high performance.