摘要
针对一般遗传算法中交叉概率和变异概率存在的选择困难问题,利用模糊推理系统来自适应估计交叉概率和变异概率,提出了模糊遗传算法(FGAs),并用于二自由度PID控制器参数寻优设计。仿真和实验表明,所设计的二自由度PID控制器可以使系统同时具有良好的目标值跟随特性和干扰抑制特性。
To solve the difficult selecting problem of crossover probability and mutation probability of the basic generic algorithms, a fuzzy genetic algorithm （FGA） is presented. The crossover probability and mutation probability are adaptively estimated using the fuzzy logic system. The optimal design for 2-DOF PID controller based on FGA was realized. The simulation and experiment results confirm that very good dynamic response performances for both the command tracking and disturbance reiection were achieved simultaneously.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2006年第8期868-872,共5页
Chinese Journal of Scientific Instrument
基金
教育部科学技术研究(204181)资助项目
关键词
遗传算法
二自由度PID控制
模糊逻辑
优化设计
generic algorithms 2-DOF（Degree of freedom） PID control fuzzv logic optimal design
作者简介
杨延西,男,1975年出生博士副教授主要研究方向为控制理论与控制工程。E-mail：yangyanxi@saut．edu．cn
