MPSO-Based PID Controllers Parameters Optimum Tuning

摘要：

In the control engineering field, PID Parameters optimization is an important issue. PSO which is a powerful stochastic evolutionary algorithm used to find the global optimum solution in search space has been utilized with success to solve the PID parameters optimization problem. This paper proposes to enhance the searching capability of PSO for the optimal PID parameters using a Multiple Particle Swarm Optimization (MPSO). The method puts together a number of swarms containing particles that exchange information about the best position in order to build a solution to the considered problem. Comparing with standard PSO-PID controller, the simulation result shows that the proposed approach performs an efficient search for PID controller parameters. Moreover, the proposed controller is more efficient in improving the step response characteristics.

关键词： PID parameters tuning PID controller PSO-PID controller MPSO-PID controller Optimization

作者: Julius NIYONGABO Yingjie ZHANG

作者单位: School of Information Science and Engineering, Hunan University Changsha 410082 China

会议类型: 国际会议

会议名称: 2010 International Conference on Future Information Technology(2010年未来信息技术国际会议 ICFIT 2010)

会议地点: 长沙

会议语种:英文

页码: 795-798

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）