The PID Prediction Control System using Particle Swarm Optimization and Genetic Algorithms

摘要：

In this paper, the particle swarm optimization (PSO) algorithm and genetic algorithm (GA) are employed to optimize the parameters of PID algorithm in order to improve the performance of PID control system. Moreover, we propose the grey model based on grey system theory to combine with PID control to establish the PID prediction control system. The proposed control system can realize the accurate control in realtime. Finally, we validated the effectiveness of the proposed control system by computer simulation.

作者: Guo-Dong Li Chen-Hong Wang Shiro Masuda Daisuke Yamaguchi Masatake Nagai

作者单位: Department of System Design,Tokyo Metropolitan University, Hino City, 191-0065 Japan Department of Microbiology, Hebei North University,Zhangjiakou City, 075000 China School of Natural Science and Technology,Okayama University, Okayama City, 700-8530 Japan Faculty of Engineering, Kanagawa University, Yokohama City, 221-8686 Japan

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)

会议地点: 南京

会议语种:英文

页码: 687-691

在线出版日期: 2009-10-20（万方平台首次上网日期，不代表论文的发表时间）