Adaptive sliding mode control for stochastic jump systems against sensor and actuator failures. Issue 16 (29th September 2016)

• Record Type: Journal Article
• Authors: Chen, Liheng; Liu, Ming; Fu, Shasha
• Is Part Of: IET control theory & applications. Volume 10:Issue 16(2016)
• Page Start: 2000
• Page End: 2009
• Publication Date: 2016-09-29
• Subjects: stochastic systems -- fault tolerant control -- sensors -- observers -- actuators -- variable structure systems -- closed loop systems; stochastic jump systems -- sensor failure -- actuator failure -- fault‐tolerant control problem -- simultaneous actuator degradation -- additive sensor fault -- stochastic Markovian jump systems -- external disturbance -- adaptive observer approach -- asymptotic estimations -- actuator efficiency factor -- adaptive sliding mode control law -- state estimation -- closed‐loop fault system -- linearised model -- F‐404 aircraft engine system; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2015.1321
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : This study investigates the fault‐tolerant control problem in the presence of simultaneous actuator degradation and additive sensor fault for a class of stochastic Markovian jump systems, where external disturbance and partially accessible mode information are considered. A new adaptive observer approach is developed to generate the asymptotic estimations of system state, unknown actuator efficiency factor and additive sensor fault. An adaptive sliding mode control law based on the state estimation is proposed to stabilise the resulting closed‐loop fault system. Finally, an example of a linearised model of an F‐404 aircraft engine system is presented to illustrate the effectiveness of the proposed control method.