Robust fault diagnosis for switched systems based on sliding mode observer

Jian Li, Xinxin Guo, Cong Chen and Qingyu Su

Applied Mathematics and Computation, 2019, vol. 341, issue C, 193-203

Abstract: In this paper, the robust fault diagnosis for switched systems is studied based on sliding mode observers, taking the DC–DC power electronic converter as an example. According to the switched system mode, a sliding mode observer is designed through linear matrix inequalities to detect the fault. The fault identification unit not only locates the faulty component, but also realizes the identification of the faulty component parameter. For different components of the system, a series of adaptive sliding mode observers are designed to determine the location of fault. At the same time, an appropriate adaptive law is selected to estimate the parameters of the components. Finally, the proposed method is proved to be effective by an example of power electronic DC-DC boost converter.

Keywords: Switched systems; Fault diagnosis; Sliding mode observer (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:341:y:2019:i:c:p:193-203

DOI: 10.1016/j.amc.2018.08.036

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