基于广义双曲正切模型的非线性直接自适应模糊控制

摘要

基于广义模糊双曲正切模型可以逼近定义在紧集上任意连续函数的特点,提出一种基于广义双曲正切模型的直接自适应模糊控制.利用广义双曲正切模型的自适应可调参数远小于模糊规则的特殊结构,可以在保证控制精度的同时,避免高精度模糊控制器因为模糊规则数量激增而带来的计算膨胀问题,节约了运算成本,提高了控制器的运行效率.仿真结果表明,和传统的直接自适应模糊控制相比,该控制算法精度更好,运算成本更低.%A direct self-adaptive fuzzy control approach is proposed by taking advantage of property of generalized hyperbolic model which can approximate arbitrary function in a compact set.With the special structure of less self-adaptive adjustable parameters in generalized hyperbolic model than that in fuzzy rules,the accuracy of the controller is guaranteed,and the problem of calculation explosion due to sharp increasing of fuzzy control rules is avoided with saving the operation cost and increasing operating efficiency.Simulation results indicate the approach has better accuracy and lower operation cost comparing to traditional direct selfadaptive fuzzy control.