Modeling method of fuzzy neural network and its application in rolling force control
QIU Hua-dong1, TIAN Jian-yan2, WANG Shu-yu2, JIAN Long2, LIU Xian-he2, HAN Gao-peng2
1. Hot Continuous Rolling Plant, Taiyuan Iron and Steel Group Co., Ltd., Taiyuan 030003, Shanxi, China; 2. College of Electrical and Power Engineering,Taiyuan University of Technology, Taiyuan 030024, Shanxi, China
Abstract：In view of the problem that the neural network control model in hot rolling cannot meet the accuracy requirements of some special rolling laws, on the basis of the research of the foundation and optimization of existing hot mill model, a fusion modeling method based on the fuzzy rule compensation model neural network was proposedcombined with advanced fuzzy control technology.According to the characteristics of two types of special steels,the establishment and practical application process of compensation model based on fuzzy ruleswas explained in details.With the practical production experience,the establishment process of the rule base in the modeling process was confirmed.The application results of practical production process show that the modeling method of fuzzy neural network can effectively improve the calculation accuracy of rolling force and the control precision of thickness, thus improving the quality of hot rolling strip products.
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2021, Vol. 31 
