Fuzzy shape control based on Elman dynamic recursion network prediction model

被引：4
|
作者：
Jia, CY [1 ]
Liu, HM [1 ]
机构：
[1] Yanshan Univ, Coll Mech Engn, Qinhuangdao 066004, Hebei, Peoples R China
来源：
JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL | 2006年 / 13卷 / 01期
关键词：
shape prediction; shape control; Elman dynamic recursion network; parameter self-adjusting; fuzzy control;
D O I：
10.1016/S1006-706X(06)60022-8
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
In the strip rolling process, shape control system possesses the characteristics of nonlinearity, strong coupling, time delay and time variation. Based on self-adapting Elman dynamic recursion network prediction model, the fuzzy control method was used to control the shape on four-high cold mill. The simulation results showed that the system can be applied to real time on line control of the shape.
引用
收藏
页码：31 / 35
页数：5
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