一种PID参数整定的粒子群优化算法  

Particle swarm optimization algorithms for parameter tuning of PID controllers

作　　者：张兴华[1] 李纬[1] 周刘喜[1] 

机构地区：[1]南京工业大学自动化学院,南京210009

出　　处：《计算机工程与应用》2007年第33期227-229,共3页Computer Engineering and Applications

基　　金：江苏省教育厅自然科学基金项目(the Natural Science of Department of Education of Jiangsu Province; China under Grant No.06KJB510040)

摘　　要：提出了一种PID控制器参数整定的粒子群优化算法。该方法首先通过定义一个包含系统超调量、上升时间和稳态误差指标项的适应度函数,并根据系统的实际控制要求对各指标项适当加权。之后由带收缩因子的粒子群算法对PID进行多目标寻优,从而实现PID控制器的自动参数整定。仿真结果表明,该方法优化得到PID控制器的综合性能优于常规方法得到的PID控制器。A particle swarm optimization algorithms for parameter tuning of PID controllers is proposcd.First,a fitness function which includes some terms represent overshoot,rise trine and steady error of the system is defined,and the terms are weighted properly.Then the particle swarm optimization algorithms with a constriction factor is used for multi-objective optimization of PID controllers,and the auto parameter tuning of PID controllers can he realized.Simulation results show that the synthesized performance of PID controllers obtained hy the proposed method superior to that by standard methods.

关 键 词：PID控制器 粒子群算法 多目标优化 参数整定 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置]