This article is cited in 7 papers

Nonlinear Systems

Fault identification: an approach based on optimal control methods

A. A. Kabanov^a, A. V. Zuev^b, A. N. Zhirabok^bc, V. F. Filaretov<sup>d

a</sup> Sevastopol State University, Sevastopol, Russia
^b Far Eastern Federal University, Vladivostok, Russia
^c Institute of Marine Technology Problems, Far Eastern Branch, Russian Academy of Sciences, Vladivostok, Russia
^d Institute of Automation and Control Processes, Far Eastern Branch, Russian Academy of Sciences, Vladivostok, Russia

Abstract: This paper considers the problem of identifying (estimating) faults in systems described by linear models under exogenous disturbances. It is solved using optimal control methods; in comparison with sliding mode observers, they avoid high-frequency switching. The solution method proposed below involves a reduced model of the original system that is sensitive to faults and insensitive to disturbances. The corresponding theory is illustrated by an example.

Keywords: linear systems, faults, identification, observers, optimal systems.

Presented by the member of Editorial Board: L. B. Rapoport

Received: 11.01.2023
Revised: 11.04.2023
Accepted: 09.06.2023

DOI: 10.31857/S0005231023090040

 English version: Automation and Remote Control, 2023, 84:9, 956–965