Application of fuzzy logic on flatness control of cold rolling mill

被引：0
|
作者：
Pan, XJ [1 ]
Chai, TY [1 ]
机构：
[1] Northeastern Univ, Ctr Automat Res, Shenyang 110006, Peoples R China
来源：
AUTOMATION IN THE STEEL INDUSTRY: CURRENT PRACTICE AND FUTURE DEVELOPMENTS | 1998年
关键词：
fuzzy logic; rules; PI controller; regression; simulation;
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：
This paper focuses on the flatness control of cold rolling mill using fuzzy logic. Strip flatness is described by all orthogonal polynomial regression based on measurement of output stress distribution. Two fuzzy logic controllers are proposed, the skewing compensation controller to adjust the linear flatness error and the bending controller to eliminate parabolic flatness error. Copyright (C) 1998 IFAC.
引用
收藏
页码：39 / 42
页数：4
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