摘要
针对PID控制器的参数整定和优化问题,本文提出一种基于免疫克隆算法的优化PID控制器参数的方法.该算法与人体免疫系统机制相似,通过克隆、选择和高频变异,以获得最优的目标函数值,进而获得最优的PID控制器.仿真实验结果表明该方法明显优于遗传算法和粒子群算法,同时证明了利用免疫克隆算法进行PID调节的有效性.
In order to the tuning and optimization of PID controller,this paper presented a method to optimize the parameters of the PID controller using immune clone algorithm.The algorithm is similar to the human immune system mechanisms.Through clone,election and high frequency variation,It achieves the goal in the optimal PID controller for a given function object.the simulation study results show that the PID algorithm based on immune clone are better than genetic algorithm and particle swarm algorithm,which shows the method in this paper is successful and effective.
出处
《辽宁大学学报（自然科学版）》
CAS
2011年第1期46-49,共4页
Journal of Liaoning University：Natural Sciences Edition
关键词
免疫克隆算法
进化算法
PID控制器
优化
immune clone algorithm
evolutionary algorithm
PID controller
optimization
