DocumentCode :
577824
Title :
Fuzzy systems-based adaptive fault-tolerant dynamic surface control for a class of high-order nonlinear systems with actuator fault
Author :
Shen, Qikun ; Jiang, Bin ; Zhan, Tianping
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
3013
Lastpage :
3018
Abstract :
The problem of adaptive fault-tolerant dynamic surface control (DSC) for a class of high-order nonlinear uncertain systems with actuator fault is discussed, and a novel design scheme of adaptive fuzzy controller is proposed in this paper. First, the approach removes the condition that the upper or low boundary of fault is known. Moreover, the problem of explosion of complexity in traditional backstepping design is overcome by introducing the first order filter, and the possible controller singularity in feedback linearization is avoided without projection algorithm. In addition, the approach removes the assumption that the control coefficients are known exactly or unknown but lower bounded by known positive constants. By theoretical analysis, the closed-loop systems is shown to be semi-globally uniformly ultimately bounded, with tracking errors converging to a small neighborhood of origin by appropriately choosing design constants. Finally, simulation results demonstrate the effectiveness of the proposed method.
Keywords :
adaptive control; fault tolerance; fuzzy control; fuzzy systems; nonlinear control systems; actuator fault; adaptive fault tolerant dynamic surface control; adaptive fuzzy controller; backstepping design; closed loop system; controller singularity; feedback linearization; fuzzy system; high order nonlinear uncertain systems; projection algorithm; Actuators; Adaptive systems; Backstepping; Fault tolerance; Fault tolerant systems; Nonlinear systems; Adaptive control; Dynamic surface control; Fault-tolerant control; Fuzzy control; High-order nonlinear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358388
Filename :
6358388
Link To Document :
بازگشت