基于遗传算法和语言算子的模糊控制器优化研究

Study on Optimization of Fuzzy Controller Based on Genetic Algorithm and Linguistic Operator

用单片机实现模糊控制策略是一种常用的重要的方法,它是根据误差和误差的变化率隶属度函数表,离线计算得到一张模糊控制查询表,用单片机实现查询功能。该方法应用十分广泛,因此优化离散形式的隶属度函数表具有重要的意义。该文提出了一种优化离散形式的隶属度函数表的新方法:即用遗传算法优化模糊集合中的语气算子H,从而优化离散形式隶属函数表。经优化后的隶属函数更能客观地反映控制对象真实特性,从而达到了优化模糊控制器的目的。文章用一个具体的实例以仿真的形式验证了该方法是正确的、有效的。

Using microprocessor to implement fuzzy control strategy is an important and simple method,the principle of which is to get a look-for table of fuzzy control by means of off-line computing based on the membership tables of errors and its derivative.Microprocessor implements the function of inquire,the method has been used widely.So the optimization of membership tables has an important signification.This paper proposes a new method to optimize the membership tables,which is to optimize the language operators of fuzzy sets by using genetic algorithm so as to optimize membership tables.The membership tables optimized agree with the characteristics of actual objective,so the look-for table from the membership tables optimized has better control performs.The method is verified by simulation in this paper,and the results of simulation indicate that the method is correct and efficient.