摘要
基于免疫克隆选择原理,针对单级倒立摆PID控制数学模型,设计了一种新的PID参数优化算法——免疫克隆算法。选用简单遗传算法、克隆选择算法与其进行比较研究,通过MATLAB仿真实验,观察该算法搜索结果稳定性好,算法收敛性强。通过Simulink仿真实验,进一步研究3种算法最优目标函数下的PID控制参数的实际控制效果,采用免疫克隆算法优化的控制参数,系统控制响应可以获得良好的实时性、稳定性、控制精度,效果优于其它2种算法。
Pointing to the model of single order pendulum PID control,a new kind of PID parameters optimizing algorithm-Immune Clone Algorithm（ICA） is designed in the paper.It is based on the principle of immune clone slection.It is compared with simple genetic algorithm,clone selection algorithm.It is simulated by Matlab.The results show that the presented algorithm has good performance on stability of searching results,and also the good performance of covergence.By simulation of simulink,it studies the real control effect of PID control parameters optimized by the three algorithm.The results show that the system can get better performance on stability,control precision for system response than the other two algorithms.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第35期179-182,共4页
Computer Engineering and Applications
基金
国家自然科学基金( the National Natural Science Foundation of China under Grant No.60305007)
黑龙江省归国留学人员基金( No. LC05C03)
关键词
免疫克隆算法
PID控制
参数优化
Immune Clone Algorithm（ICA）
PID control
parameters optimization
