A. A. Margun, V. H. Bui, A. A. Bobtsov, “Diagnosis of uncertain systems with arbitrary relative degree and unknown input”, Avtomat. i Telemekh., 2024, Issue 11,Pages <nobr>36

This article is cited in 2 papers

Linear Systems

Diagnosis of uncertain systems with arbitrary relative degree and unknown input

A. A. Margun^ab, V. H. Bui^a, A. A. Bobtsov^cab

^a St. Petersburg National Research University of Information Technologies, Mechanics and Optics
^b Mechanical Engineering Research Institute of RAS, Nizhny Novgorod
^c Hangzhou Dianzi University, Zhejiang

Abstract: The problem of detecting sensor and actuator faults for a class of multivariable systems with arbitrary relative degree is considered. The proposed solution is based on the synthesis of unknown input observers. A modification is proposed that ensures a predefined convergence time, which is based on the dynamic regressor extension and mixing method and the Kreisselmeier scheme. The obtained solution is extended to the class of nonlinear systems with parametric uncertainties. Simulation results are provided to illustrate the effectiveness of the proposed approach.

Keywords: system diagnosis, fault detection, fault isolation, unknown input observer.

Presented by the member of Editorial Board: P. V. Pakshin

Received: 11.06.2024
Revised: 02.09.2024
Accepted: 04.09.2024

DOI: 10.31857/S0005231024110025