模糊规则在线自调整算法及仿真研究  

Research on on-line fuzzy rule self-adjusting algorithm and its simulation

作　　者：张大斌[1] 李元香[2] 夏学文[2] 

机构地区：[1]华中师范大学信息管理系,武汉430079 [2]武汉大学计算机学院,武汉430072

出　　处：《计算机应用研究》2008年第4期1025-1027,共3页Application Research of Computers

基　　金：国家自然科学基金资助项目(60442001)

摘　　要：在模糊规则的可修正因子的基础上,提出了一种在线自调整模糊控制器解析规则模糊控制器的改进结构,引入了能够动态调整模糊控制规则的修正函数;同时,通过遗传算法,应用该修正函数对模糊控制器控制参数进行优化。通过对一个典型的二阶系统进行仿真实验,结果表明使用该方法设计的模糊控制器具有响应快、超调小、稳态精度高等优点,改善了模糊控制系统的性能。On the basis of a modifying factor, this paper proposed an improved structure of analytic expression based fuzzy controller, and introduced a modifying function capable of regulating the fuzzy control rules dynamically. In addition, implemented a combinatorial optimization of the fuzzy controller＇ s parameters based on GA by using this modifying function. The result from simulation on a second-order system shows that the fuzzy controller designed by the suggested method has the advantages of fast response, small overshoot and high steady accuracy. Thus improved the performance of the fuzzy control system.

关 键 词：自适应模糊控制器 规则自调整 隶属度函数 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]