An Improved Ant Colony Algorithm for PID Parameters Optimization

摘要：

In view of traditional PID controller parameters optimization by Z-N method,and none satisfactory dynamic properties can be gotten,so a new PID controller parameters optimization method based on improved Ant Colony Algorithm is put forward in this paper.Ant Colony Algorithm is a way of heuristic,which adopts parallel computation mechanism, characterized with strong robust.This paper proposes an improved algorithm based on adaptively adjusting the pheromone on routes;meanwhile,in order to avoid stagnation of the search,the range of possible pheromone trails on each solution component is limited to a maximum-minimum interval. Simulation experiment shows the proposed Ant Colony Algorithm is feasible.

关键词： Ant Colony Algorithm pheromone PID controller parameters optimization

作者: Yibao Chen Zhong Guo Jiaguang Liu

作者单位: School of Electromechanical Automobile Engineering Yantai University Yantai,Shandong Province, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 157-160

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）