Title :
Adaptive control for hysteretic system with unknown control direction
Author :
Jia-li Wang ; Xin-long Zhao ; Lianwei Ma
Author_Institution :
Coll. of Mech. Eng. & Autom., Zhejiang Sci-Tech Univ., Hangzhou, China
Abstract :
For a class of strict-feedback nonlinear systems with hysteresis described by Bouc-Wen model, adaptive controller is proposed combined with backstepping technique. In this method, RBF neural network is used to approximate the unknown function. The unknown control direction is solved by Nussbaum function. It is proved that all the closed-loop signals are bounded, and the tracking error converges to an arbitrarily small field. Finally, the simulation shows the feasibility of the control scheme.
Keywords :
adaptive control; closed loop systems; control nonlinearities; feedback; function approximation; hysteresis; neurocontrollers; nonlinear control systems; Bouc-Wen model; Nussbaum function; RBF neural network; adaptive control; backstepping technique; closed-loop signals; hysteretic system; strict-feedback nonlinear systems; unknown control direction; unknown function approximation; Adaptation models; Adaptive control; Automation; Educational institutions; Hysteresis; Nonlinear systems; Adaptive control; Hysteresis; Nussbaum function; RBF neural network;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7052949
