Robust sensorless vector control of an induction machine using Multiobjective Adaptive Fuzzy Luenberger Observer - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue ISA Transactions Année : 2018

Robust sensorless vector control of an induction machine using Multiobjective Adaptive Fuzzy Luenberger Observer

, , (1) , , (2, 3)
1
2
3

Résumé

This paper presents an inherent speed estimation scheme associated to the Indirect Field Oriented Control in case of Induction motor sensorless control. Indeed, through the design of a Multiobjective Adaptive Fuzzy Luenberger Observer, the speed sensorless control issue even at low speed, the observer poles' assignment issues and the speed estimation's sensitivity to rotor resistance uncertainties issue are treated concurrently. First of all, the structure of the proposed Takagi-Sugeno adaptive observer is described. Secondly, based on Lyapunov theory, observer gains are designed and a fuzzy speed estimation scheme is provided. The design's objectives consist of minimizing the sensitivity of the proposed observer to rotor resistance uncertainties (using the L-2 techniques) and to guarantee a specified observer dynamic performances through a D-stability analysis. The design conditions are formulated into Linear Matrix Inequalities terms. Finally, experiments are conducted to demonstrate the effectiveness of the proposed results regardless of uncertainties in the rotor resistance. (C) 2018 ISA. Published by Elsevier Ltd. All rights reserved.
Fichier non déposé

Dates et versions

hal-03631291 , version 1 (05-04-2022)

Identifiants

Citer

M. Chabaane, M. Bahloul, Larbi Chrifi-Alaoui, S. Drid, M. Souissi. Robust sensorless vector control of an induction machine using Multiobjective Adaptive Fuzzy Luenberger Observer. ISA Transactions, 2018, 74, pp.144-154. ⟨10.1016/j.isatra.2018.01.019⟩. ⟨hal-03631291⟩
7 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook Twitter LinkedIn More