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Research on Prediction Model of Bending Force Based on BP Ne...

Research on Prediction Model of Bending Force Based on BP Neural Network with LM Algorithm

作     者:Xiaohua Li shashi Liu Hui Li Jing Wang Tao Zhang 

作者单位:School of Electrons and Information Engineering University of Science and Technology Liaoning School of Control Science and Engineering Dalian University of Technology 

会议名称:《第25届中国控制与决策会议》

主办单位:IEEE;NE Univ;IEEE Ind Elect Chapter;IEEE Harbin Sect Control Syst Soc Chapter;Guizhou Univ;IEEE Control Syst Soc;Syst Engn Soc China;Chinese Assoc Artificial Intelligence;Chinese Assoc Automat;Tech Comm Control Theory;Chinese Assoc Aeronaut;Automat Control Soc;Chinese Assoc Syst Simulat;Simulat Methods & Modeling Soc;Intelligent Control & Management Soc

会议日期:2013年

学科分类:12[管理学] 080503[工学-材料加工工程] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 080201[工学-机械制造及其自动化] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:supported by Scientific Research Foundation of Tangshan Iron and Steel Company 

关 键 词:Bending force prediction model BP neural network LM algorithm 

摘      要:Hydraulic bending roller is a most basic and important method for shape control of strip. The rolled shape quality is decided by the setting value of bending farce in great part. This paper chooses five-stand hot tandem rolling mill in 1810 product line of Tangshan Iron and Steel Company as background, and deals primarily with the study of the bending force prediction model of the rolling unit. To counter the imperfection of traditional prediction model and according to feature of hot strip mill, the various factors influencing bending farce are analyzed, and a bending farce prediction model based on BP neural network with LM algorithm is set up. The training and testing simulation for the neural network is done by using the actual production data of hot rolled steel SS400. By means of the analysis toward simulation results, it is shown that the neural network prediction model for bending force has not only a fast convergence speed, but also a high prediction accuracy to meet actual production request. The research provides a direction and foundation for the setting of practical bending force of 1810 hot rolling line.

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