DocumentCode :
71106
Title :
Output-Tracking-Error-Constrained Robust Positioning Control for a Nonsmooth Nonlinear Dynamic System
Author :
Han, Seong I. ; Lee, Jang M.
Author_Institution :
Dept. of Electron. Eng., Pusan Nat. Univ., Busan, South Korea
Volume :
61
Issue :
12
fYear :
2014
fDate :
Dec. 2014
Firstpage :
6882
Lastpage :
6891
Abstract :
An output-tracking-error-constrained dynamic surface control (DSC) is proposed for the robust output positioning of a multiple-input-multiple-output nonlinear dynamic system in the presence of both friction and deadzone nonsmooth nonlinearities. An error transformation method and simple barrier Lyapunov function are also proposed to ensure the prescribed output tracking performance and stability without requiring specific observations of the friction and deadzone parameters. In addition, a new adaptive cerebellar model articulation controller-echo state neural networks system is proposed to deal with an unknown nonlinear function to improve the positioning performance. The boundedness of the overall closed-loop signals and the prescribed performance constraints were guaranteed, and precise positioning performance was also ensured regardless of the effects of friction and deadzone. The proposed control scheme was evaluated by simulation and experiment.
Keywords :
Lyapunov methods; MIMO systems; cerebellar model arithmetic computers; closed loop systems; neurocontrollers; nonlinear dynamical systems; position control; robust control; DSC; adaptive cerebellar model articulation controller-echo state neural networks system; barrier Lyapunov function; closed-loop signals; deadzone nonsmooth nonlinearities; deadzone parameters; error transformation method; friction nonlinearities; multiple-input-multiple-output nonlinear dynamic system; nonsmooth nonlinear dynamic system; output-tracking-error-constrained dynamic surface control; output-tracking-error-constrained robust positioning control; robust output positioning; stability; Aerospace electronics; Approximation methods; Friction; Lyapunov methods; MIMO; Nonlinear dynamical systems; Barrier Lyapunov function (BLF); cerebellar model articulation controller (CMAC)??echo state network (ESN); friction and deadzone; multiple-input??multiple-output (MIMO) dynamic surface control (DSC); prescribed tracking error constraint;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2014.2316263
Filename :
6785990
Link To Document :
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