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Method for Fault Identifying in Nonlinear Systems
https://doi.org/10.17586/0021-3454-2025-68-8-668-679
Abstract
The problem of estimating the magnitude of faults in nonlinear dynamic systems in the presence of external disturbances is solved. The solution uses optimal control methods based on the transformation of the original system to a reduced linear system of a special type, sensitive to faults and insensitive to disturbances. Unlike sliding observers, traditionally used to solve this problem, the proposed approach allows avoiding high-frequency switching.
Supporting agencies: This work was supported by a grant from the Russian Science Foundation (project No. 25-29-00634, https://rscf.ru/project/25-29-00634/).
About the Authors
A. A. Kabanov
Sevastopol State University
Russian Federation
Russian Federation
Aleksei A. Kabanov — PhD, Associate Professor; Research Laboratory of Robotics and Intelligent Control Systems, Head of the Laboratory
Sevastopol
A. N. Zhirabok
Far Eastern Federal University
Russian Federation
Russian Federation
Aleksei N. Zhirabok — Dr. Sci., Professor; Department of Automation and Robotics
Vladivostok
A. V. Zuev
Institute of Marine Technology Problems, the Far Eastern Branch of the RAS
Russian Federation
Russian Federation
Aleksandr V. Zuev — Dr. Sci., Associate Professor; Laboratory of intelligent systems; Head of the Laboratory
Vladivostok
V. F. Filaretov
Institute of Automation and Control Processes, the Far Eastern Branch of the RAS
Russian Federation
Russian Federation
Vladimir F. Filaretov — Dr. Sci., Professor; Laboratory of Robotic systems; Head of the Laboratory
Vladivostok
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For citations:
Kabanov A.A., Zhirabok A.N., Zuev A.V., Filaretov V.F. Method for Fault Identifying in Nonlinear Systems. Journal of Instrument Engineering. 2025;68(8):668-679. (In Russ.) https://doi.org/10.17586/0021-3454-2025-68-8-668-679
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