Interval Type-2 Fuzzy Adaptive Strategy for Fault Tolerant Control Based on New Faulty Model Design: Application to DSIM Under Broken Rotor Bars Fault

Interval Type-2 Fuzzy Adaptive Strategy for Fault Tolerant Control Based on New Faulty Model Design: Application to DSIM Under Broken Rotor Bars Fault

Noureddine LayadiSamir Zeghlache Ali Djerioui Hemza Mekki Azeddine Houari Mohamed-Fouad Benkhoris Fouad Berrabah 

Laboratoire de Génie Electrique, Department of Electrical Engineering, Faculty of Technology, University Mohamed Boudiaf of M’Sila, BP 166, Ichbilia 28000, Algeria

IREENA Laboratory, University of Nantes, Saint-Nazaire, France

Department of Electrical Engineering, Faculty of Technology, University Mohamed Boudiaf of M’Sila, BP 166, Ichbilia 28000, Algeria

Corresponding Author Email: 
layadinoureddine1@gmail.com
Page: 
212-221
|
DOI: 
https://doi.org/10.18280/mmc_a.910407
Received: 
12 August 2018
| |
Accepted: 
30 November 2018
| | Citation

OPEN ACCESS

Abstract: 

This paper presents a fault tolerant control (FTC) based on the type-2 fuzzy logic system (IT2FLS) using an adaptive control law for a double star induction machine (DSIM) under broken rotor bars (BRB) fault of a squirrel-cage in order to improve its reliability and availability. The adaptive fuzzy control is designed to compensate for the fault effect. The proposed FTC is able to maintain acceptable performance in the event of BRB. The stability of the closed-loop is verified by exploitation of Lyapunov theory. To proof the performance and effectiveness of the proposed FTC, a comparative study within sliding mode control (SMC) is carried out. Obtained results show that the proposed FTC has a better robustness against the BRB fault.

Keywords: 

double star induction machine, interval type-2 fuzzy logic system, adaptive control, sliding mode control, fault tolerant control, broken rotor bars

1. Introduction
2. Dsim Faulty Model
3. Design of an Interval Type-2 Fuzzy Logic Adaptive Controller for DSIM
4. Simulation Results and Comparisons
5. Conclusion
Appendix A
Appendix B
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