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›› 2004, Vol. 30 ›› Issue (06): 165-167.

• 论文 • 上一篇    下一篇

基于改进遗传算法的PID参数整定及其在加热炉中的应用

侯志祥,申群太,李河清   

  1. 中南大学信息科学与工程学院,中南大学信息科学与工程学院,长沙交通学院汽车与机电工程系 长沙 410083;长沙交通学院汽车与机电工程系,长沙 410076
  • 发布日期:2004-03-25

Adjustment of PID Parameters Based on Improved Genetic Algorithms and Its Application on Heating Furnace

HOU Zhixiang1,2,SHENG Quntai1,LI Heqing2   

  1. (1.College of Information Science and Engineering, Central South University, Changsha 410083; 2.Department of Automobile and Mechanical and Electrical Engineering, Changsha Communications University, Changsha 410076)
  • Published:2004-03-25

摘要: 提出了一种遗传算法交叉概率与变异概率的自适应确定方法,应用该方法对PID控制器的参数进行优化,并以加热炉为研究对象进行仿真研究,结果表明该方法能实现对PID参数的全局优化,仿真系统具有较好的控制效果。

关键词: 改进的遗传算法, PID参数, 加热炉

Abstract: This paper presents a method of adaptive confirming the crossover ratio and mutation ratio of genetic algorithms and optimizes the PID parameters based on the method and author simulates the heating furnace using the PID parameters, and the result shows the improved generic algorithms can optimize the PID parameters in all areas, and the simulation system of the heating furnace can work effectively.

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