Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2019.1706911
Sensor fault detection and isolation for a class of uncertain nonlinear system using sliding mode observers
Farideh Allahverdi
; Department of Electrical Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
Amin Ramezani
; Department of Electrical Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
Mehdi Forouzanfar
; Department of Electrical Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
Sažetak
Quick and timely fault detection is of great importance in control systems reliability. Undetected faulty sensors could result in irreparable damages. Although fault detection and isolation (FDI) methods in control systems have received much attention in the last decade, these techniques have not been applied for some classes of nonlinear systems yet. This paper deals with the issues of sensor fault detection and isolation for a class of Lipschitz uncertain nonlinear system. By introducing a coordinate transformation matrix for states and output, the original system is first divided into two subsystems. The first subsystem is affected by uncertainty and disturbance. The second subsystem just has sensor faults. The nonlinear term is separated to linear and pure nonlinear parts. For fault detection, two sliding mode observers (SMO) are designed for the two subsystems. The stability condition is obtained based on the Lyapunov approach. The necessary matrices and parameters are obtained by solving the linear matrix inequality (LMI) problem. Furthermore, two sliding mode observers are designed for fault isolation. Finally, the effectiveness of the proposed approach is illustrated by simulation examples.
Ključne riječi
Fault detection; Lipschitz; nonlinear system; sliding mode observer; LMI
Hrčak ID:
239865
URI
Datum izdavanja:
16.3.2020.
Posjeta: 1.084 *