Fault estimation for nonlinear uncertain time‐delay systems based on unknown input observer

Autor:	Ataollah Azarbani, Ahmad Fakharian, Mohammad Bagher Menhaj
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	delay systems fault diagnosis nonlinear dynamical systems Control engineering systems. Automatic machinery (General) TJ212-225
Zdroj:	IET Control Theory & Applications, Vol 18, Iss 7, Pp 846-864 (2024)
Druh dokumentu:	article
ISSN:	1751-8652 1751-8644
DOI:	10.1049/cth2.12620
Popis:	Abstract In this paper, a novel nonlinear unknown input observer is proposed in order to fault estimation for nonlinear uncertain systems with time delays. By the estimation of the faults, the features are detected such as shape, size occurrence time etc. The time delay is considered a constant and known parameter in the states. The disturbances are investigated in the states and outputs and also, and sensor and actuator faults are considered. The stability of the closed‐loop system is guaranteed by Lyapunov–Krasovskii theory and some feasible Linear matrix inequalities (LMI). The proposed method is simulated on a continuous‐stirred tank reactor (CSTR) with uncertainties and time delay. Simulation results show the appropriate efficiency of the proposed method.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/a1c6bca627f04a0e8968a14190764401 Zobrazit plný text záznamu Plný text View record in DOAJ