A geometric approach to nonlinear fault detection and isolation in a hybrid three-cell converter
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Computational Bioscience Research Center (CBRC)
Permanent link to this recordhttp://hdl.handle.net/10754/652956
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AbstractIn 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.
CitationKhelouat S, Laleg-Kirati TM, Benalia A, Boukhetala D, Djemai M (2019) A geometric approach to nonlinear fault detection and isolation in a hybrid three-cell converter. International Journal of Systems Science 50: 1069–1088. Available: http://dx.doi.org/10.1080/00207721.2019.1588409.
SponsorsPart 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.
PublisherInforma UK Limited