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This article is cited in 12 scientific papers (total in 12 papers)
Nonlinear Systems
Identification of faults in nonlinear dynamical systems and their sensors based on sliding mode observers
A. N. Zhirabokab, A. V. Zuevb, O. Yu. Sergiyenkoc, A. E. Shumskya a Far Eastern Federal University, Vladivostok, 690090 Russia
b Institute of Marine Technology Problems, Far-East Branch,
Russian Academy of Sciences, Vladivostok, 690091 Russia
c Universidad Autonoma de Baja California, Mexicali, 21100 Mexico
Abstract:
We consider the problem of fault identification in nonlinear technical systems described by dynamic models and in their sensors in the presence of disturbances. A method based on sliding mode observers is used to solve the problem. A modification of this method is proposed which permits one to expand the family of systems for which the identification problem can be solved by weakening the constraints imposed on the original system. This modification has made it possible to reduce the complexity of diagnostic tools. The results are illustrated by practical examples.
Keywords:
nonlinear system, fault, sliding mode observer, identification.
Citation:
A. N. Zhirabok, A. V. Zuev, O. Yu. Sergiyenko, A. E. Shumsky, “Identification of faults in nonlinear dynamical systems and their sensors based on sliding mode observers”, Avtomat. i Telemekh., 2022, no. 2, 63–89; Autom. Remote Control, 83:2 (2022), 214–236
Linking options:
https://www.mathnet.ru/eng/at15710 https://www.mathnet.ru/eng/at/y2022/i2/p63
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