LAPSE:2023.15930
Published Article
LAPSE:2023.15930
Sliding Mode Observer-Based Fault Detection in Continuous Time Linear Switched Systems
March 2, 2023
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.
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Keywords
Fault Detection, H∞ control, linear matrix inequalities, sliding mode observer, switched systems
Subject
Suggested Citation
Ali S, Raza MT, Abbas G, Ullah N, Al Otaibi S, Luo H. Sliding Mode Observer-Based Fault Detection in Continuous Time Linear Switched Systems. (2023). LAPSE:2023.15930
Author Affiliations
Ali S: Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Raza MT: Department of Electrical Engineering, Lahore College for Women University, Lahore 54000, Pakistan
Abbas G: Department of Electrical Engineering, The University of Lahore, Lahore 54000, Pakistan [ORCID]
Ullah N: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia [ORCID]
Al Otaibi S: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia [ORCID]
Luo H: Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China [ORCID]
Raza MT: Department of Electrical Engineering, Lahore College for Women University, Lahore 54000, Pakistan
Abbas G: Department of Electrical Engineering, The University of Lahore, Lahore 54000, Pakistan [ORCID]
Ullah N: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia [ORCID]
Al Otaibi S: Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia [ORCID]
Luo H: Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China [ORCID]
Journal Name
Energies
Volume
15
Issue
3
First Page
1090
Year
2022
Publication Date
2022-02-01
Published Version
ISSN
1996-1073
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Original Submission
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PII: en15031090, Publication Type: Journal Article
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LAPSE:2023.15930
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doi:10.3390/en15031090
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[v1] (Original Submission)
Mar 2, 2023
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Mar 2, 2023
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