Diagonal recurrent neural network decoupling control on the loopers' height and tension system

被引：0
|
作者：
Li, Bo-qun [1 ]
Zhang, Ke-jun [1 ]
Fu, Jian [1 ]
Sun, Yi-kang [1 ]
机构：
[1] Univ Sci & Technol Beijing, Informat Engn Coll, Beijing 100083, Peoples R China
来源：
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年
关键词：
looper system; building model; decoupling; DRNN;
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：
For improving further automatic gauge control accuracy and quality in hot strip mills, this paper gives appropriate mathematics model and whole transferring functions based on coupling process analysis and practical date in order to complete decoupling control of the loopers' height and tension system. The control strategy based on DRNN is introduced to decouple the looper system. It can cope with changes in rolling conditions by controlling the rotational speed of the main motor in addition to the existing looper motor current. The simulation results have shown the effectiveness of this algorithm and after decoupled, the loopers' control performance gets much better.
引用
收藏
页码：2787 / +
页数：3
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