遗传算法优化模糊控制器及其在非线性系统中的应用

Genetic algorithms optimization based fuzzy logic controller and its application in nonlinear system

提出一种基于遗传算法优化的模糊控制器的设计方法，即利用遗传算法对模糊控制器的参数进行寻优，构成一个ＧＡ－Ｆｕｚｚｙ 控制器．该算法适用于多输入－多输出系统．对于典型非线性复杂系统二级倒立摆的仿真结果证明了本文控制算法的有效性和适应性．

Design method of genetic algorithms optimization based fuzzy logic controller is proposed in this paper. The GA Fuzzy controller is constructed by utilizing GA to optimize fuzzy parameters. This approach can be applied to MIMO systems. The typical nonlinear complex system — double inverted pendulum system is employed as a test bed to demonstrate the effectiveness of the proposed GA Fuzzy algorithm and the simulation results are given.