Titre :	Design of Robust Fuzzy Mutual MRAS Estimator for Induction Motor
Type de document :	document multimédia
Auteurs :	Mihoub Saihi, Auteur ; Ahmed Nouai, Auteur ; Katia Kouzi, Directeur de thèse
Editeur :	Laghouat : Université Amar Telidji - Département d'électrotechnique
Année de publication :	2023
Importance :	60p.
Accompagnement :	CD ROM Optique
Note générale :	Option : Automatic and systems
Langues :	Anglais
Mots-clés :	Induction Motor (IM)  Vector Control  PI regulator  PI Fuzzy, Fuzzy Mutual MRAS , Reference Model, Adjustable Model, Stator resistance, Robustness.
Résumé :	This study concerns the design of Robust Fuzzy Mutual MRAS Estimator for Induction Motor (IM). The presented estimator estimates both the mechanical speed, stator and rotor resistance. To do this, in a first step, the modeling and vector control of induction Motor were presented. In the second step, the design of PI fuzzy logic controller for speed IM regulation was well explained. The performance of suggested algorithm control was illustrated by some simulation results. In the last step, we have proposed Fuzzy Sensorless speed vector control of IM based on Mutuel –MRAS estimator which detects the speed and some key parameter of IM such as stator and rotor resistance. The feature and efficiency of Sensorless speed were shown by simulation results.
note de thèses :	Memoire de Master en Electrotechnique

Design of Robust Fuzzy Mutual MRAS Estimator for Induction Motor [document multimédia] / Mihoub Saihi, Auteur ; Ahmed Nouai, Auteur ; Katia Kouzi, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'électrotechnique, 2023 . - 60p. + CD ROM Optique.
Option : Automatic and systems

Langues : Anglais

Mots-clés :	Induction Motor (IM)  Vector Control  PI regulator  PI Fuzzy, Fuzzy Mutual MRAS , Reference Model, Adjustable Model, Stator resistance, Robustness.
Résumé :	This study concerns the design of Robust Fuzzy Mutual MRAS Estimator for Induction Motor (IM). The presented estimator estimates both the mechanical speed, stator and rotor resistance. To do this, in a first step, the modeling and vector control of induction Motor were presented. In the second step, the design of PI fuzzy logic controller for speed IM regulation was well explained. The performance of suggested algorithm control was illustrated by some simulation results. In the last step, we have proposed Fuzzy Sensorless speed vector control of IM based on Mutuel –MRAS estimator which detects the speed and some key parameter of IM such as stator and rotor resistance. The feature and efficiency of Sensorless speed were shown by simulation results.
note de thèses :	Memoire de Master en Electrotechnique