Roll Subsectional Cooling Adaptive Fuzzy Control Based on Fuzzy Model Inversion

作     者：SHAN Xiu-ying LIU Hong-min JIA Chun-yu 

作者机构：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 

出 版 物：《Journal of Iron and Steel Research International》 (JOURNAL OF IRON AND STEEL RESEARCH,INTERNATIONAL)

年 卷 期：2010年第17卷第4期

页      面：39-44页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基　　金：Item Sponsored by National Natural Science Foundation of China(50675186) Great Natural Science Foundation of Hebei Province of China(E2006001038) 

主　　题：fuzzy identification subsectional cooling adaptive fuzzy control flatness control 

摘      要：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 mathematic 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.