DocumentCode :
1797994
Title :
Adaptive backstepping-based nonlinear disturbance observer for fin stabilizer system
Author :
Weiwei Bai ; Tieshan Li ; Zhaokuan Lu
Author_Institution :
Coll. of Marine Navig., Dalian Maritime Univ., Dalian, China
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
1258
Lastpage :
1264
Abstract :
In this paper, an adaptive backstepping controller based on nonlinear disturbance observer (DOB) is proposed for the nonlinear fin stabilizer system. DOB is responsible for disturbance rejection and uncertainty compensation, while the adaptive backstepping scheme is proposed for dealing with uncertain parameters of the fin stabilizer model. The designed controller guarantees uniform ultimate boundedness of all the signals in the closed-loop system and the tracking errors converge to a small neighborhood of the origin. The advantages of the proposed control scheme comprise that the DOB shorten the response time and observes the whole disturbances of the fin stabilizer system. Simulation example is presented to show the preciseness and robustness of the stabilization control realized by the proposed method.
Keywords :
adaptive control; closed loop systems; control nonlinearities; nonlinear control systems; observers; ships; stability; vehicle dynamics; DOB; adaptive backstepping controller; adaptive backstepping-based nonlinear disturbance observer; closed-loop system; disturbance rejection; fin stabilizer model; nonlinear disturbance observer; nonlinear fin stabilizer system; stabilization control; tracking errors; uncertainty compensation; uniform ultimate boundedness; Adaptive systems; Backstepping; Marine vehicles; Mathematical model; Observers; Robustness; Uncertainty; Adaptive Control; Backstepping; Fin Stabilizer; Nonlinear Disturbance Observer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6627-1
Type :
conf
DOI :
10.1109/IJCNN.2014.6889722
Filename :
6889722
Link To Document :
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