Adaptive iterative learning control of nonlinear systems with hysteresis

被引：0
作者：
Zhao Xin-long [1 ]
Lou Shuang [1 ]
Zhang Yi-kai [1 ]
Pan Hai-peng [1 ]
机构：
[1] Zhejiang Sci Tech Univ, Inst Automat, Fac Mech Engn & Automat, Hangzhou 310018, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年
基金：
美国国家科学基金会;
关键词：
Hysteresis; Bouc-Wen model; Iterative learning control; Adaptive control; PRANDTL-ISHLINSKII HYSTERESIS; MODEL;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An adaptive iterative learning controller (ILC) is proposed for a class of nonlinear systems with hysteresis described by Bouc-Wen model. First, the property of Bouc-Wen mode is discussed and the upper bound is derived. Then an iterative learning controller is proposed through the Lyapunov-like function. This controller can eliminate the oscillation and overshoot caused by hysteresis effectively. Finally, simulation results are provided to illustrate the effectiveness of the proposed controller.
引用
收藏
页码：1030 / 1033
页数：4
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