Application of AGC Systemon Continuous Bar Rolling Mill Based on Neural Network
CUI Gui-mei1,FENG Xiao-dong1,LI Wei-ming2
1.School of Information Engineering,Inner Mongolia University of Scienceand Technology, Baotou 014010,Nei Mongol,China 2.BERIS Engineering and Research Corporation, Baotou 014010,Nei Mongol, China
Abstract��Continuous bar rolling process demands that the coordination capacity of each rolling mill is extremely high. Front and back rolling mill status would be affected if fluctuation is produced in any mill. Although for the traditional bar rolling mill DC motor and looper device are used to achieve rolling without tension and torque,this cannot guarantee the correct rolling deformation and sectional shape every time.Therefore in this study through the comprehensive analysis of engineering method of rolling pressure and the comprehensive consideration of affecting the relevant amount of bar diameter,the draught pressure prediction model of ellipse-circularity was established based on BP neural network. Finally,it is combined with AGC system to achieve the high precision bar rolling. According to this research, higher accuracy can be obtained based on the prediction model.
��÷����С������ΰ��. �����������AGCϵͳ�ڰ��������е�Ӧ��[J]. �й������ڿ���, 2013, 31(3): 58-62.
CUI Gui-mei,FENG Xiao-dong,LI Wei-ming. Application of AGC Systemon Continuous Bar Rolling Mill Based on Neural Network. Chinese Journal of Iron and Steel, 2013, 31(3): 58-62.
2013, Vol. 31 
