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一种基于遗传算法的新的模糊控制器优化方法
A New GA-Based Optimization Method for Fuzzy Controller Design
【摘要】 通过分析对模糊控制器优化的原理,提出一种新的优化设计方法,通过引入等比因子,实现用三个参数调整输入、输出语言变量的隶属函数,再通过遗传算法寻优包括量化和比例因子在内的这些参数,使得性能指标最大,从而使设计出的模糊控制器性能更优。仿真结果表明,本文方法简单,有效。
【Abstract】 A new optimization method for fuzzy controller design is proposed.The membership functions of input and output variables are defined by three parameters,called geometric proportional factors,adding with the scaling factors,which are adjusted to maximize the performance index by using the Genetic Algorithm.Therefore the fuzzy controller is designed to be more capability.The simulation result shows that this optimization method is simple and effective.
【关键词】 模糊控制器;
模糊控制;
遗传算法;
等比因子;
【Key words】 Fuzzy logic controller; Fuzzy logic; Genetic algorithm; Geometric proportional factors;
【Key words】 Fuzzy logic controller; Fuzzy logic; Genetic algorithm; Geometric proportional factors;
【基金】 福建省自然科学基金计划资助项目(A0410005)
- 【文献出处】 自动化技术与应用 ,Techniques of Automation and Applications , 编辑部邮箱 ,2005年10期
- 【分类号】TP273.4
- 【被引频次】8
- 【下载频次】193