Alexander V. Zuev
PhD in Technical Sciences, Associate Professor, Far Eastern Federal University (FEFU), In-stitute of the World Ocean, Department of Automation and Robotics, Assistant Professor, 10, poselok Ayaks, Russky Island, Vladivostok, 690922, Russia; Institute of Marine Technology Problems FEB RAS (IPMT FEB RAS), Laboratory of Intelligent Information Systems for Marine Robots, Leading Research Scientist, 5-A, ul. Sukhanova, Vladivostok, 690091, Russia, tel.: +7(914)961-77-35, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0002-0934-6222
Alexey N. Zhirabok
Doctor of Technical Science, Professor, FEFU, Institute of the World Ocean, Department of Automation and Robotics, Professor, 10, poselok Ayaks, Russky Island, Vladivostok, 690041, Russia, tel.: +7(924)234-58-95, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0001-5927-7117
Vladimir F. Filaretov
Doctor of Technical Science, Professor, Institute of Automation and Control Processes FEB RAS (IAPU FEB RAS), Laboratory of Robotic Systems, Head of Laboratory, 5, Radio ul., Vladivostok, 690041, Russia, tel.: +7(423)226-69-43, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0001-8900-8081
Alexander A. Protsenko
IPMT FEB RAS, Laboratory of Intelligent Information Systems for Marine Robots, Junior Research Scientist, 5-A, ul. Sukhanova, Vladivostok, 690091, Russia, tel.: +7(914)674-70-64, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0002-0260-8031
Received 21 September 2021
Abstract
The article presents a new method for faults identification in mechatronic systems, described by non-stationary nonlinear differential equations, in the presence of perturbations. Observers working in a sliding mode are used to solve the problem. The proposed approach is based on the idea of constructing a reduced (with lower dimension) model of the original system with selective sensitivity to faults and disturbances. The main purpose of introducing such a model is the ability to take into account the nonstationarity of the system. The stated theory is illustrated by a practical example.
Key words
Fault identification, non-stationary systems, observers.
Acknowledgements
The work was supported by the Russian Foundation for Basic Research (project no. 20-38-70161), and also partially by the grant of the President of the Russian Federation, SP-3252.2019.5.
DOI
10.31776/RTCJ.10106
Bibliographic description
Zuev, A. et al., 2022. Method of faults identification in non-stationary systems. Robotics and Technical Cybernetics, 10(1), pp.55-63.
UDC identifier:
519.7
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