Design of Fractional Order PID Controller by Hybrid Adaptive Particle Swarm Optimization Based on the Average Velocity

摘要：

A novel approach of tuning PID controller is proposed by the improved particle swarm optimization (PSO).The adaptive laws of adjusting the inertia factor and acceleration coef ficients according to the de finition of the average velocity of particle swarm optimization are designed to increase the convergence rate.A hybrid particle swarm optimization with simulated annealing is presented to prevent particles from converging into the local optimum.This strategy is applied to optimize the parameters of fractional order PID controller,and reduces the steps of iterations.The fractional order PID controller for Buck converter is designed and the simulation results demonstrate that this approach work well.The proposed method enhances the system response and improves the dynamic performance compared with the standard particle swarm optimization.

作者: GAO Zhe LIAO Xiaozhong

作者单位: School of Automation Beijing Institute of Technology,Beijing 100081,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-6

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）