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Sliding Mode Observer-Based Fault Detection in Continuous Time Linear Switched Systems

Authors :
Shafqat Ali
Muhammad Taskeen Raza
Ghulam Abbas
Nasim Ullah
Sattam Al Otaibi
Hao Luo
Source :
Energies, Vol 15, Iss 3, p 1090 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

This paper studies the problem of fault detection for continuous time linear switched systems in the presence of disturbance. For this purpose, a fault detection sliding mode observer approach is designed to generate the residual signal. To minimize the effect of disturbance from the residual, the problem is formulated into H∞ filtering technique to increase more robustness. To deal with the issue of the switched systems stability, the Lyapunov-Krasovskii functional method is utilized along with average dwell time, and linear matrix inequalities are formulated to derive the sufficient conditions. The residual signal is evaluated, and an adaptive threshold is computed for both modes of the switched system. Finally, a simulation example for a case study of boost converter and a numerical example with both abrupt and incipient faults are illustrated to prove the efficacy of the proposed method.

Details

Language :
English
ISSN :
19961073
Volume :
15
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Energies
Publication Type :
Academic Journal
Accession number :
edsdoj.65dc6f78de84ba9b6a1c327d9570655
Document Type :
article
Full Text :
https://doi.org/10.3390/en15031090