Robust sliding mode observer-based actuator fault detection and isolation for a class of nonlinear systems

Authors:
Xing-Gang Yan;Christopher Edwards
Affiliations:
Control & Instrumentation Research Group, Department of Engineering, University of Leicester, Leicester, LE1 7RH, UK;Control & Instrumentation Research Group, Department of Engineering, University of Leicester, Leicester, LE1 7RH, UK
Venue:
International Journal of Systems Science
Year:
2008

Citing 4
Cited 1

Robust model-based fault diagnosis for dynamic systems

Robust model-based fault diagnosis for dynamic systems
Sliding mode observers for fault detection and isolation

Automatica (Journal of IFAC)
Brief Sliding mode observers for detection and reconstruction of sensor faults

Automatica (Journal of IFAC)
Decentralised robust sliding mode control for a class of nonlinear interconnected systems by static output feedback

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Switching fault tolerant control design via global dissipativity

International Journal of Systems Science - Fault Diagnosis and Fault Tolerant Control

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Abstract

In this article, an actuator fault detection and isolation scheme for a class of nonlinear systems with uncertainty is considered. The uncertainty is allowed to have a nonlinear bound which is a general function of the state variables. A sliding mode observer is first established based on a constrained Lyapunov equation. Then, the equivalent output error injection is employed to reconstruct the fault signal using the characteristics of the sliding mode observer and the structure of the uncertainty. The reconstructed signal can approximate the system fault signal to any accuracy even in the presence of a class of uncertainty. Finally, a simulation study on a nonlinear aircraft system is presented to show the effectiveness of the scheme.