Fault identification in nonlinear dynamic systems not satisfying matching, minimum phase, and detectability conditions

Alexey Zhirabok, Alexander Zuev, Vladimir Filaretov and Alexey Shumsky

International Journal of Systems Science, 2022, vol. 53, issue 7, 1390-1400

Abstract: The paper studies the fault identification problem for nonlinear control systems under unmatched disturbances. A novel approach to construct a sliding mode observer is proposed for systems that do not satisfy common conditions required for fault estimation, in particular matching condition, minimum phase condition, and detectability conditions. The suggested approach is based on the reduced order model of the original system and on the canonical form of matrices describing such a model. This allows to reduce the complexity of sliding mode observers and relax the limitations imposed on the original system. Three different cases for disturbances are considered and the appropriate solutions are suggested.

Date: 2022
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DOI: 10.1080/00207721.2021.2003471

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