Actuator fault reconstruction based on a robust adaptive observer. Issue 15 (1st October 2018)

• Record Type: Journal Article
• Authors: Han, Zhiguo; Zhang, Ke; Liu, Haipeng
• Is Part Of: IET control theory & applications. Volume 12:Issue 15(2018)
• Page Start: 2076
• Page End: 2087
• Publication Date: 2018-10-01
• Subjects: control system synthesis -- fault diagnosis -- nonlinear control systems -- robust control -- observers -- linear systems -- Lyapunov methods -- linear matrix inequalities -- stability -- time‐varying systems -- actuators -- adaptive control; actuator fault reconstruction -- robust adaptive observer -- fault reconstruction method -- actuator additive faults -- desired robust performance -- accurate reconstructions -- abrupt time‐varying faults -- external unknown disturbance -- improved robust adaptive fault reconstruction observer -- robust adaptive fault reconstruction algorithm -- robust method; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2018.0112
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : A fault reconstruction method based on a robust adaptive observer is proposed to handle the actuator additive faults that exist in a non‐linear descriptor system that satisfies the Lipschitz conditions. First, a robust adaptive fault reconstruction observer is proposed. This method has the desired robust performance and can achieve accurate reconstructions of both abrupt and time‐varying faults in the presence of an external unknown disturbance. Then, to improve the transition process of fault reconstruction, an improved robust adaptive fault reconstruction observer is proposed. The improved robust adaptive fault reconstruction algorithm, which uses different coefficients for the proportion output errors and the derivative output errors, can enhance the rapidity and accuracy of fault reconstruction. The robust adaptive and improved robust adaptive observers are based on the linear matrix inequality technique. According to the Lyapunov stability theory, the stability conditions of the methods are derived. Additionally, the influence of an external unknown disturbance on the actuator fault reconstruction is suppressed using a robust method. Finally, two different examples are used to demonstrate the effectiveness of the proposed fault reconstruction methods.