DocumentCode :
2753971
Title :
Tracking control of surface vessels via adaptive backstepping interval type-2 fuzzy logic control
Author :
Chen, Xue Tao ; Tan, Woei Wan
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
8
Abstract :
This paper investigates the problem of tracking control of fully actuated surface vessels along a desired trajectory in the presence of time-varying hydrodynamic disturbances. The combination of approximation-based adaptive technique and interval type-2 fuzzy logic system allows the time-varying disturbances to be handled without explicit knowledge about the disturbance model. Through backstepping and Lyapunov synthesis, an indirect adaptive interval type-2 fuzzy logic controller (IT2 FLC) as well as a direct adaptive IT2 FLC for the tracking control problem are introduced. The stabilities of the closed-loop systems are explored where sufficient conditions for guaranteeing global asymptotical convergence of the tracking errors are proposed. Comparative simulations of the proposed techniques against their adaptive type-1 counterparts are carried out with a container ship. The proposed techniques are found to be effective and robust.
Keywords :
Lyapunov methods; adaptive control; approximation theory; asymptotic stability; fuzzy control; marine vehicles; time-varying systems; IT2 FLC; Lyapunov synthesis; adaptive backstepping interval type-2 fuzzy logic control; approximation-based adaptive technique; closed-loop systems; fully actuated surface vessels; global asymptotical convergence; indirect adaptive interval type-2 fuzzy logic controller; time-varying hydrodynamic disturbances; tracking control; Adaptation models; Adaptive systems; Fuzzy logic; Hydrodynamics; Sea surface; Uncertainty; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location :
Brisbane, QLD
ISSN :
1098-7584
Print_ISBN :
978-1-4673-1507-4
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2012.6251244
Filename :
6251244
Link To Document :
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