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Fault Identification: An Approach Based on Optimal Control Methods

  • NONLINEAR SYSTEMS
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Abstract

This paper considers the problem of identifying (estimating) faults in systems described by linear models under exogenous disturbances. It is solved using optimal control methods; in comparison with sliding mode observers, they avoid high-frequency switching. The solution method proposed below involves a reduced model of the original system that is sensitive to faults and insensitive to disturbances. The corresponding theory is illustrated by an example.

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Funding

This work was supported by the Russian Science Foundation, project no. 22-19-00392; https://rscf.ru/project/22-19-00392/.

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Authors and Affiliations

  1. Sevastopol State University, Sevastopol, Russia

    A. A. Kabanov

  2. Far Eastern Federal University, Vladivostok, Russia

    A. V. Zuev & A. N. Zhirabok

  3. Institute of Marine Technology Problems, Far Eastern Branch, Russian Academy of Sciences, Vladivostok, Russia

    A. V. Zuev & A. N. Zhirabok

  4. Institute of Automation and Control Processes, Far Eastern Branch, Russian Academy of Sciences, Vladivostok, Russia

    V. F. Filaretov

Authors
  1. A. A. Kabanov
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  2. A. V. Zuev
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  3. A. N. Zhirabok
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  4. V. F. Filaretov
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Corresponding authors

Correspondence to A. A. Kabanov, A. V. Zuev, A. N. Zhirabok or V. F. Filaretov.

Additional information

This paper was recommended for publication by L.B. Rapoport, a member of the Editorial Board

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Kabanov, A.A., Zuev, A.V., Zhirabok, A.N. et al. Fault Identification: An Approach Based on Optimal Control Methods. Autom Remote Control 84, 956–965 (2023). https://doi.org/10.1134/S0005117923090059

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  • DOI: https://doi.org/10.1134/S0005117923090059

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