基于遗传算法的模糊控制器设计

遗传算法是建立在自然选择和自然遗传学机理上的遗传自适应概率性搜索算法 ,对于多变量寻优问题是一种易于实现的、有效的途径 ,提出了一种基于遗传算法的隶属函数和控制规则的最优设计方法。仿真结果表明 ,用该方法设计的模糊控制器用较少的模糊变量即可获得良好的性能。

Optimal Design for Fuzzy Controllers by Genetic Algorithms

Genetic algorithms are search algorithms based on thenatural selection and natural Genetics. They are easy to be implemented and are efficient for multivariable optimization. A optimal design method for membership functions and control rules simultaneously by genetic algorithm is proposed. The simulation result shows that the fuzzy controller thus designed can achieve good performances merely using a few fuzzy variables.