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Reseach Article

Takagi-Sugeno Fuzzy Observer Design for Induction Motors with Immeasurable Decision Variables: State Estimation and Sensor Fault Detection

by M. Allouche, M. Souissi, M. Chaabane, D. Mehdi, F. Tadeo
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 23 - Number 4
Year of Publication: 2011
Authors: M. Allouche, M. Souissi, M. Chaabane, D. Mehdi, F. Tadeo
10.5120/2983-3737

M. Allouche, M. Souissi, M. Chaabane, D. Mehdi, F. Tadeo . Takagi-Sugeno Fuzzy Observer Design for Induction Motors with Immeasurable Decision Variables: State Estimation and Sensor Fault Detection. International Journal of Computer Applications. 23, 4 ( June 2011), 44-51. DOI=10.5120/2983-3737

@article{ 10.5120/2983-3737,
author = { M. Allouche, M. Souissi, M. Chaabane, D. Mehdi, F. Tadeo },
title = { Takagi-Sugeno Fuzzy Observer Design for Induction Motors with Immeasurable Decision Variables: State Estimation and Sensor Fault Detection },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 23 },
number = { 4 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 44-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume23/number4/2983-3737/ },
doi = { 10.5120/2983-3737 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:21.344476+05:30
%A M. Allouche
%A M. Souissi
%A M. Chaabane
%A D. Mehdi
%A F. Tadeo
%T Takagi-Sugeno Fuzzy Observer Design for Induction Motors with Immeasurable Decision Variables: State Estimation and Sensor Fault Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 23
%N 4
%P 44-51
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper deals with the problem of sensor fault detection of induction motors described by some linear models blended together through non linear membership functions that involve unmeasurable decision variables. The intermittent disconnections of the sensors produce severe transient errors in the estimator used in the control loop, worsening the performance of the induction motor. Then, a Takagi-Sugeno (TS) observer is proposed, in descriptor form, to simultaneously estimate the states and achieve the detection and isolation of incipient sensors faults. For this, a TS model is first derived to represent precisely the induction motor in the fixed stator d-q reference frame. Secondly, a descriptor TS observer is synthesized, in which the sensor faults are considered as an auxiliary variable state. Some simulation results illustrate the effectiveness of the proposed approach

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Index Terms

Computer Science
Information Sciences

Keywords

Induction motor sensor faults Takagi-Sugeno models fuzzy descriptor observer Linear Matrix Inequalities (LMIs)