Application of an enhanced PSO algorithm to optimal tuning of PID gains

摘要：

In this paper, an enhanced particle swarm optimization algorithm with more information and other PSO variants were applied to optimal tuning of Proportional-Integral-Derivative (PID) parameters for a typical PID control system. The digital simulation results show the enhanced PSO algorithm has stable convergence characteristic and good computational ability, and it is an effective method for optimal tuning of PID gains.

关键词： artificial intelligence computer simulation optimal tuning particle swarm optimization PID gains

作者: Hongqing Fang Long Chen

作者单位: College of Electrical Engineering, Hohai University, Nanjing, Jiangsu 210098, P.R.China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 35-39

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）