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兵工学报 ›› 2006, Vol. 27 ›› Issue (2): 202-205.

• 论文 • 上一篇    下一篇

基于粒子群优化的伺服系统比例积分微分控制器设计方法

李银伢,盛安冬,王远钢   

  1. 南京理工大学自动化系,江苏南京210094
  • 收稿日期:2005-03-11 上线日期:2014-12-25
  • 通讯作者: 李银伢
  • 基金资助:
    国家自然科学基金项目(69973007)

A Design Method Based on Particle Swarm Optimization for PID Controller of a Servo System

LI Yin-ya, SHENG An-dong, WANG Yuan-gang   

  1. Department of Automatic Control, Nanjing University of Science and Technology, Nanjing 210094,Jiangsu, China
  • Received:2005-03-11 Online:2014-12-25
  • Contact: LI Yin-ya

摘要: 给出了 一种基于粒子群优化(PSO)算法的火炮伺服系统比例积分微分(PID)控制器优 化设计方法。定义了 ー个综合考虑火炮调转时间、上升时间、超调量、系统静态误差、等速跟踪误差 和正弦跟踪误差等动静态性能的指标函数,在给定的控制器参数空间进行组合优化搜索,可迅速求 得使性能指标优化函数极小化的ー组PID控制器参数。仿真結果表明该方法有效。

关键词: 自动控制技术 , 伺服系統 , PID控制 , 粒子群优化

Abstract: An optimum design method based on particle swarm optimization (PSO) algorithm was pre?sented for PID controller of an artillery servo system. A new performance criterion evolution function combined with the system maximum position settling time, rise time, overshoot, steady state error, constant velocity position tracking error and sinusoidal position tracking error was defined. It is fast to calculate a PID controller to minimize the evaluation function by searching on the given controller pa?rameter space. The simulation results show that the proposed controller is effective.

Key words: automatic control technique , servo system , PID control , particle swarm optimization

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