Optimization of PID Parameters Based on Classical Particle Swarm Optimization Algorithm

摘要：

This article proposes a new technique for the optimization of PID controller parameters. Based on the comprehensive analysis of performance influence brought out by various control parameters, we use the Classical Particle Swarm Optimization Algorithm (CPSO) to optimize PID parameters, which is different from the case that standard PSO model is employed, and obtain some results also compared with the corresponding conclusions provided by Genetic Algorithm. Through the choice of the range for PID parameters according to the optimized inner-kernal given by ZieglerNichols method, the good effects of the algorithm is shown by a simulation examples in the end up of the paper.

作者: Yanyan Chen Qi Luo

作者单位: Institute of Information and Control Nanjing University of Information Science and Technology Nanjing, 210044 China

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）