Open AccessAdaptive sliding mode control for stochastic jump systems against sensor and actuator failures
Author(s) -
Chen Liheng,
Liu Ming,
Fu Shasha
Publication year - 2016
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2015.1321
Subject(s) - control theory (sociology) , actuator , observer (physics) , state observer , jump , mode (computer interface) , fault tolerance , sliding mode control , fault (geology) , computer science , control engineering , engineering , control (management) , nonlinear system , artificial intelligence , physics , quantum mechanics , operating system , distributed computing , seismology , geology
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.