【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.更多还原

【Abstract】 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.更多还原