DocumentCode
56164
Title
Robust adaptive fault-tolerant control for linear systems with actuator failures and mismatched parameter uncertainties
Author
Li-Bing Wu ; Guang-Hong Yang ; Dan Ye
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Volume
8
Issue
6
fYear
2014
fDate
April 17 2014
Firstpage
441
Lastpage
449
Abstract
In this study, a direct adaptive control scheme is developed to solve the robust fault-tolerant control problem for linear systems with mismatched parameter uncertainties, disturbances and actuator faults including loss of effectiveness, outage and stuck. Although the unparameterisable time-varying stuck faults and the upper bounds of disturbances are unknown, the adaptive laws are proposed to estimate the unknown controller parameters online. Then, by using the information from the adaptive mechanism, a class of robust adaptive state feedback controllers are constructed for automatically compensating the actuator faults, external disturbances and mismatched parameter uncertainties. Moreover, on the basis of Lyapunov stability theory, it is proved that the resulting adaptive closed-loop system can be guaranteed to be asymptotically stable in the presence of actuator faults, disturbances and mismatched parameter uncertainties. Finally, simulation results are presented to illustrate the efficiency of the proposed fault-tolerant design approach.
Keywords
Lyapunov methods; adaptive control; asymptotic stability; closed loop systems; control system synthesis; fault tolerance; linear systems; robust control; state feedback; time-varying systems; Lyapunov stability theory; actuator failures; adaptive closed-loop system; asymptotic stability; direct adaptive control scheme; fault-tolerant design approach; linear systems; mismatched parameter uncertainties; robust adaptive fault-tolerant control problem; robust adaptive state feedback controllers; unparameterisable time-varying stuck faults;
fLanguage
English
Journal_Title
Control Theory & Applications, IET
Publisher
iet
ISSN
1751-8644
Type
jour
DOI
10.1049/iet-cta.2013.0334
Filename
6780903
Link To Document