摘要
基于变结构控制原理,利用模糊逻辑系统对未知函数进行在线逼近,提出了一种具有监督器的自适应模糊控制方法.该方法通过监督控制器保证闭环系统所有信号有界,并引入最优逼近误差的自适应补偿项以消除建模误差的影响.通过李亚普诺夫方法,证明了跟踪误差收敛到零的一个小邻域内.仿真结果表明了该方法的有效性.
Based on the principle of variable structure control and the capability of the fuzzy systems with linear adjustable parameters, a novel adaptive fuzzy control strategy with supervisory controller is developed. With the help of a supervisory controller, the resulting closed-loop system is globally stable in the sense that all signals involved are uniformly bounded. Furthermore, the adaptive compensation term of the optimal approximation error is adopted to reduce the effects of modeling error. By theoretical analysis, it is shown that tracking error converges to a small neighborhood of zero. Simulation results demonstrate the effectiveness of the approach.
出处
《扬州大学学报（自然科学版）》
CAS
CSCD
2006年第1期18-21,34,共5页
Journal of Yangzhou University：Natural Science Edition
基金
国家自然科学基金资助项目(60074013
10371106)
江苏省教育厅计划指导项目(KK0310067)
扬州大学信息科学学科群基金资助项目(ISG030606)
关键词
非线性系统
模糊控制
类反斜线回滞
积分变结构控制
自适应控制
全局稳定性
nonlinear systems
fuzzy control
backlash-like hysteresis
integral variable structure control
adaptive control
global stability
