Roll Subsectional Cooling Adaptive Fuzzy Control Based on Fuzzy Model Inversion

钢铁研究学报(英文版), 2010, 17(4): 39-44.

^1, , ^2, , ^3,

1.Engineering Research Center of Rolling Equipment and Complete Technology of Ministry of Education,State Key Laboratory of Metastable Materials Science and Technology,Yanshan University,Qinhuangdao 066004,Hebei,China

2.Engineering Research Center of Rolling Equipment and Complete Technology of Ministry of Education,State Key Laboratory of Metastable Materials Science and Technology,Yanshan University,Qinhuangdao 066004,Hebei,China

3.Engineering Research Center of Rolling Equipment and Complete Technology of Ministry of Education,State Key Laboratory of Metastable Materials Science and Technology,Yanshan University,Qinhuangdao 066004,Hebei,China

基金项目: National Natural Science Foundation of China(50675186) Great Natural Science Foundation of Hebei Province of China(E2006001038)

Roll Subsectional Cooling Adaptive Fuzzy Control Based on Fuzzy Model Inversion

SHAN Xiu-ying ^1, , LIU Hong-min ^2, , JIA Chun-yu ^3,

Keywords： fuzzy identification

Flatness is an important equality indicator of strip rolling and roll subsectional cooling is an important method for flatness control, especially for high order flatness component control. It is very hard to build the math-ematic model of roll subsectional cooling because of its characteristics of nonlinearity, hysteresis quality and strong coupling, etc. In order to improve the control effect of roll subsectional cooling control model, the roll subsectional cooling adaptive fuzzy control model based on fuzzy model inversion is built according to the separation principle of fuzzy form on the basis of the conventional fuzzy control model, where the parameters of the fuzzy controller can be dynamically regulated according to the change of rolling conditions. Simulation experiment results of the model indicate that the proposed roll subsectional cooling adaptive fuzzy control model based on fuzzy model inversion has high control precision and rapid response speed with strong self-learning and anti-interference capacity and a new method is provided for high precision flatness control.

参考文献

[1]	ZHAO Yong-he;LI Zhong-zhen;ZHENG Chang-min .The Study of the Temperature Field and Thermal Deformation of the Roll in Large Type Mill[J].Journal of Yanshan University,1998,22(03):202.
[2]	Zuperl U;Cus F;Milfelner M.Fuzzy Control Strategy for an Adaptive Force Control in End-Milling[J].Journal of Materials Processing Technology,2005(164):1472.
[3]	李建更,杨敏,乔俊飞.基于GA的模糊控制器在弯辊控制中的应用[J].控制工程,2006(01):18-21.
[4]	JIA Chun-yu,LIU Hong-min.Fuzzy Shape Control Based on Elman Dynamic Recursion Network Prediction Model[J].钢铁研究学报（英文版）,2006(01):31-35.
[5]	Xie H B;Jiang Z Y;Liu X H.Application of Fuzzy Control of Laminar Cooling for Hot Rolled Strip[J].Journal of Materials Processing Technology,2007(187):715.
[6]	华建新,金以慧,吴文斌.冷轧板形控制中的精细冷却控制[J].冶金自动化,2002(01):41-44.
[7]	尹凤福,李谋渭,张少军,李东明.铝箔轧机中生成热分配的实验及分析[J].北京科技大学学报,2003(06):568-571.
[8]	SUN Zeng-qi;ZHANG Zai-xing;DENG Zhi-dong.Intelligent Control Theory and Technique[M].北京:清华大学出版社,1997
[9]	Ilyas E;Yunis T .Fuzzy Logic Control to be Conventional Method[J].Energy Conversion and Management,2006,47(04):377.
[10]	孙多青,高峻峰,马晓英,俞百印,李建红.基于自适应律修改的MIMO非线性系统模糊控制[J].控制工程,2008(04):374-377.
[11]	王军.模糊逻辑在冷轧板形控制中的应用[J].宝钢技术,2002(06):9-13.
[12]	ZHANG Hua-guang.Fuzzy Identification and Fuzzy Adaptive Control of Complex System[M].Shenyang:Northeastern U-niversity Press,1993

上一张下一张

计量

下载量()
访问量()

作者相关

在本站搜索
在百度学术搜索
在万方数据库搜索
在CNKI搜索

文章评分

您的评分：
1

0%
2

0%
3

0%
4

0%
5

0%

材料期刊网

Roll Subsectional Cooling Adaptive Fuzzy Control Based on Fuzzy Model Inversion

参考文献