Actuator Efficiency Adaptive Flatness Control Model and Its Application in 1250 mm Reversible Cold Strip Mill
WANG Peng-fei1,PENG Yan1,LIU Hong-min1,ZHANG Dian-hua2,WANG Jun-sheng3
1. National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University, Qinhuangdao 066004, Hebei, China 2. State Key Laboratory of Rolling and Automation,Northeastern University, Shenyang 110004, Liaoning, China 3. Anshan Iron and Steel Company,Anshan 114001, Liaoning, China
Actuator Efficiency Adaptive Flatness Control Model and Its Application in 1250 mm Reversible Cold Strip Mill
WANG Peng-fei1,PENG Yan1,LIU Hong-min1,ZHANG Dian-hua2,WANG Jun-sheng3
1. National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University, Qinhuangdao 066004, Hebei, China 2. State Key Laboratory of Rolling and Automation,Northeastern University, Shenyang 110004, Liaoning, China 3. Anshan Iron and Steel Company,Anshan 114001, Liaoning, China
ժҪ The existing research of the flatness control for strip cold rolling mainly focuses on the calculation of the optimum adjustment of individual flatness actuator in accordance with the flatness deviation, which is used for general flatness control. As the basis of flatness control system, the efficiencies of flatness actuators provide a quantitative description to the law of flatness control. Therefore, the determination of actuator efficiency factors is crucial in flatness control. The strategies of closed loop feedback flatness control and rolling force feed-forward control were established respectively based on actuator efficiency factors. For the purpose of obtaining accurate efficiency factors matrixes of flatness actuators, a self-learning model of actuator efficiency factors was established. The precision of actuator efficiency factors can be improved continuously by the input of correlative measured flatness data. Meanwhile, the self-learning model of actuator efficiency factors permits the application of this flatness control for all possible types of actuators and every stand type. The application results show that the self-learning model is capable of obtaining good flatness.
Abstract��The existing research of the flatness control for strip cold rolling mainly focuses on the calculation of the optimum adjustment of individual flatness actuator in accordance with the flatness deviation, which is used for general flatness control. As the basis of flatness control system, the efficiencies of flatness actuators provide a quantitative description to the law of flatness control. Therefore, the determination of actuator efficiency factors is crucial in flatness control. The strategies of closed loop feedback flatness control and rolling force feed-forward control were established respectively based on actuator efficiency factors. For the purpose of obtaining accurate efficiency factors matrixes of flatness actuators, a self-learning model of actuator efficiency factors was established. The precision of actuator efficiency factors can be improved continuously by the input of correlative measured flatness data. Meanwhile, the self-learning model of actuator efficiency factors permits the application of this flatness control for all possible types of actuators and every stand type. The application results show that the self-learning model is capable of obtaining good flatness.
�ո�����: 2012-03-08
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E-mail: wpf@ysu.edu.cn
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WANG Peng-fei,PENG Yan,LIU Hong-min,ZHANG Dian-hua,WANG Jun-sheng. Actuator Efficiency Adaptive Flatness Control Model and Its Application in 1250 mm Reversible Cold Strip Mill[J]. �й������ڿ���, 2013, 20(6): 13-20.
WANG Peng-fei,PENG Yan,LIU Hong-min,ZHANG Dian-hua,WANG Jun-sheng. Actuator Efficiency Adaptive Flatness Control Model and Its Application in 1250 mm Reversible Cold Strip Mill. Chinese Journal of Iron and Steel, 2013, 20(6): 13-20.
2013, Vol. 20 
