A geometric approach to nonlinear fault detection and isolation in a hybrid three-cell converter

S. Khelouat, Taous-Meriem Laleg-Kirati, A. Benalia, D. Boukhetala, M. Djemai

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper, the problem of fault detection and isolation in a three-cell converter is investigated using a nonlinear geometric approach. This powerful method based on the unobservability distribution is used to detect and isolate the faulty cell in the three-cell converter. First, a model describing the faults in the cells is presented. The geometric approach is then applied on this faulty model to generate residual signals based on a sliding-mode observer that allows the detection of faults in the three-cell converter. Numerical results show the effectiveness of the proposed sliding-mode residual generators for fault detection and isolation in the three-cell converter.
Original languageEnglish (US)
Pages (from-to)1069-1088
Number of pages20
JournalInternational Journal of Systems Science
Volume50
Issue number5
DOIs
StatePublished - Mar 16 2019

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Part of this work was conducted when the first author was visiting the Estimation, Modeling and ANalysis (EMAN) group at the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) devision at King Abdullah University of Science and Technology (KAUST). He would like to thank KAUST for its support and generous hospitality.

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