Parameters optimization GPC based swarm algorithm

被引：0
|
作者：
Zhang Ping [1 ]
Wang Youhua [2 ]
Nie Xinpeng [2 ]
Lv Dianli [2 ]
机构：
[1] Hebei Univ Technol, Dept Automat, Tianjin 300310, Peoples R China
[2] Hebei Unvers Technol, Tianjin 300310, Peoples R China
来源：
PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 4 | 2007年
关键词：
GPC; swarm algorithm; parameters optimization; non-minimum system; PID cost function;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the zeros of plant are decomposed into non-minimum phase zeros and minimum phase zeros; a new predictive equation is built. Combining generalized predictive control function with PID structure, and then optimizing the parameters of PID cost function based on swarm algorithm, thereby a new predictive algorithm is gained on the basis of introducing a restraining overshoot predictive method and model error amendment. Simulation results show this algorithm improves the controlling performance greatly, increases instantaneous respond.
引用
收藏
页码：125 / +
页数：2
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