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Diagnosis of Linear Dynamic Systems: An Approach Based on Sliding Mode Observers

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Abstract

The problem of functional diagnosis of technical systems described by linear dynamic models under disturbances is considered. For solving the problems of detection, isolation and identification of faults, a method based on sliding mode observers is used. Modifications of this method for relaxing the implementation constraints in comparison with the well-known results and also for reducing the complexity of diagnostic tools are proposed.

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Acknowledgments

The design method of sliding mode observers was developed under support of the Russian Science Foundation, project no. 16-19-00046-P. The observers for fault detection were synthesized under support of grant no. MK-1987.2018.8 of the President of the Russian Federation.

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Correspondence to A. N. Zhirabok, A. V. Zuev or A. E. Shumsky.

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This paper was recommended for publication by S.A. Krasnova, a member of the Editorial Board

Russian Text © The Author(s), 2020, published in Avtomatika i Telemekhanika, 2020, No. 2, pp. 18–35.

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Zhirabok, A.N., Zuev, A.V. & Shumsky, A.E. Diagnosis of Linear Dynamic Systems: An Approach Based on Sliding Mode Observers. Autom Remote Control 81, 211–225 (2020). https://doi.org/10.1134/S0005117920020022

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  • DOI: https://doi.org/10.1134/S0005117920020022

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