DocumentCode :
104537
Title :
Adaptive Fuzzy Observer-Based Active Fault-Tolerant Dynamic Surface Control for a Class of Nonlinear Systems With Actuator Faults
Author :
Qikun Shen ; Bin Jiang ; Cocquempot, V.
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Volume :
22
Issue :
2
fYear :
2014
fDate :
Apr-14
Firstpage :
338
Lastpage :
349
Abstract :
The problem of fault-tolerant dynamic surface control (DSC) for a class of uncertain nonlinear systems with actuator faults is discussed and an active fault-tolerant control (FTC) scheme is proposed. Using the DSC technique, a novel fault diagnostic algorithm is proposed, which removes the classical assumption that the time derivative of the output error should be known. Further, an accommodation scheme is proposed to compensate for both actuator time-varying gain and bias faults, and avoids the controller singularity. In addition, the proposed controller guarantees that all signals of the closed-loop system are semiglobally uniformly ultimately bounded, and converge to a small neighborhood of the origin. Finally, the effectiveness of the proposed FTC approach is demonstrated on a simulated aircraft longitudinal dynamics example.
Keywords :
actuators; adaptive control; aerodynamics; aircraft control; closed loop systems; fault tolerant control; fuzzy control; nonlinear control systems; observers; time-varying systems; uncertain systems; DSC technique; FTC approach; accommodation scheme; actuator faults; actuator time-varying gain compensation; adaptive fuzzy observer-based active fault-tolerant dynamic surface control; bias fault compensation; fault diagnostic algorithm; output error time derivative; semiglobal uniform ultimately bounded closed-loop system; simulated aircraft longitudinal dynamics; uncertain nonlinear systems; Actuators; Adaptive systems; Backstepping; Educational institutions; Nonlinear systems; Silicon; Stability analysis; Adaptive control; dynamic surface control (DSC); fault-tolerant control (FTC);
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2013.2254493
Filename :
6484938
Link To Document :
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