基于遗传算法的模糊滑模控制  

A New Method of Fuzzy Sliding Mode Control Based on Genetic Algorithm

作　　者：李众[1] 张丽娟[2] 刘玉燕[2] 赵文杰[2] 

机构地区：[1]华北电力大学工商管理学院,北京102206 [2]华北电力大学自动化系,河北保定071003

出　　处：《计算机仿真》2005年第10期147-150,共4页Computer Simulation

摘　　要：模糊控制和滑模控制的结合提供了非线性控制的一大新方法,它消除了滑模控制的抖动,但同时带来新的问题———静差,而且这种控制器在控制切换时动态性能与滑平面系数选择有很大关系。鉴于以上问题,该文提出用不均匀分布隶属函数的模糊控制器来代替传统滑模控制器的符号函数,同时为了保证模糊控制系统的全局稳定性,考虑加入模糊监督控制器。再基于遗传算法对滑平面系数和因子寻优,在算法中目标函数是系统的误差和表征系统稳定性的一个新变量。这种方法减小了系统的稳态误差,加快了系统到达滑动平面的速度,有效地消除了抖动。仿真结果表明了该方法的有效性。The sliding mode control based on the fuzzy logical provides a new method for controlling nonlinear control system. It gets ride of the chattering, in the while the new problem appears——steady state error. The dynamical behavior of the hybrid fuzzy sliding mode controller depends heavily on the sliding surface on which the control structure is switched. In this study, we present a new method that fuzzy control of unevenly distributed input membership functions takes the place of the sign function of the sliding mode control with adjusting the value of and . In order to improve the properties, we use the fuzzy supervise controller in the same time. The simulation results demonstrate the effectiveness of the method.

关 键 词：模糊控制 滑模控制 遗传算法 模糊滑模控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]