摘要
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.
出处
《大连海事大学学报》
CAS
CSCD
1999年第3期79-84,共6页
Journal of Dalian Maritime University
基金
智能技术与系统国家重点实验室开放研究课题基金
关键词
遗传算法
非线性系统
模糊控制器
genetic algorithms (GAs)
fuzzy logic controller
double inverted pendulum
nonlinear system