Identification of defects in linear systems based on optimal control methods
https://doi.org/10.17586/0021-3454-2022-65-5-335-342
Abstract
The problem of identifying defects in dynamic systems described by linear differential equations is considered. Observers constructed on the basis of optimal control methods are used to solve this problem. The proposed method to synthesize such observers is based on the idea of introducing a new subsystem, in which the role of an unknown vector function describing emerging defects is played by some auxiliary control. This control is proposed to be formed in such a way as to provide a minimum of the residual functional. Unlike well-known approaches to solving the problem of defect identification based on observers operating in a sliding mode, the proposed method allows to expand the class of systems for which the identification problem can be solved, since the method of constructing sliding observers imposes certain restrictions on the systems under consideration. Results of simulation are presented to confirm the operability of the diagnostic observers synthesized using the described method.
About the Authors
A. A. KabanovRussian Federation
Alexey A. Kabanov — PhD, Associate Professor; Research Laboratory "Intelligent Systems and Robotics"; Head of the Laboratory.
Sevastopol
A. V. Zuev
Russian Federation
Aleksander V. Zuev — PhD, Associate Professor, Laboratory of Intelligent Systems; Head of the Laboratory.
Vladivostok
V. F. Filaretov
Russian Federation
Vladimir F. Filaretov — Dr. Sci., Professor; Institute of Automation and Control Processes, Laboratory of Robotic Systems; Head of the Laboratory.
Vladivostok
A. N. Zhirabok
Russian Federation
Alexey N. Zhirabok — Dr. Sci., Professor, Department of Automation and Robotics; Professor.
Vladivostok
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Review
For citations:
Kabanov A.A., Zuev A.V., Filaretov V.F., Zhirabok A.N. Identification of defects in linear systems based on optimal control methods. Journal of Instrument Engineering. 2022;65(5):335-342. (In Russ.) https://doi.org/10.17586/0021-3454-2022-65-5-335-342