NDLI: Adaptive sliding mode control for stochastic jump systems against sensor and actuator failures

Content Provider	IET Digital Library
Author	Chen, Liheng Liu, Ming Fu, Shasha
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.
Starting Page	2000
Ending Page	2009
Page Count	10
ISSN	17518644
Volume Number	10
e-ISSN	17518652
Issue Number	Issue 16, Oct (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/10/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2015.1321
Journal	IET Control Theory & Applications
Publisher Date	2016-06-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Actuator Efficiency Factor Actuator Failure Actuators Adaptive Observer Approach Adaptive Sliding Mode Control Law Additive Sensor Fault Asymptotic Estimations Closed Loop System Closed-loop Fault System External Disturbance F-404 Aircraft Engine System Fault Tolerant Control Fault-tolerant Control Problem Linearised Model Modelling And Identification Multivariable Control System Observers Sensor Sensor Failure Simulation Simultaneous Actuator Degradation State Estimation Stochastic Jump System Stochastic Markovian Jump System Stochastic System Time Varying Control System Variable Structure System
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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