|
|
|
| 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 |
|
|
|
|
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.
|
|
Received: 08 March 2012
Published: 18 June 2013
|
|
Corresponding Authors:
Peng-Fei WANG
E-mail: wpf@ysu.edu.cn
|
|
|
|
| [1] |
Xiao-chen WANG,Quan YANG,You-zhao SUN. Rectangular Section Control Technology for Silicon Steel Rolling[J]. Chinese Journal of Iron and Steel, 2015, 22(3): 185-191. |
| [2] |
Jin-shan CHEN, Chang-sheng LI. Prediction and Control of Thermal Scratch Defect on Surface of Strip in Tandem Cold Rolling[J]. Chinese Journal of Iron and Steel, 2015, 22(2): 106-114. |
| [3] |
Xin ZHANG,Shu-zong CHEN,Hao-yu ZHANG,Xi-wen ZHANG,Dian-hua ZHANG,Jie SUN. Modeling and Analysis of Interstand Tension Control in 6-high Tandem Cold Rolling Mill[J]. Chinese Journal of Iron and Steel, 2014, 21(9): 830-836. |
| [4] |
Chun-yu JIA,Tao BAI,Xiu-ying SHAN,Fa-jun CUI,Sheng-jie XU. Cloud Neural Fuzzy PID Hybrid Integrated Algorithm of Flatness Control[J]. Chinese Journal of Iron and Steel, 2014, 21(6): 559-564. |
| [5] |
Yong-quan HE,Tao JIA,Xiao-jiang LIU,Guang-ming CAO,Zhen-yu LIU,Jun LI,. Hot-dip Galvanizing of Carbon Steel after Cold Rolling with Oxide Scale and Hydrogen Descaling[J]. Chinese Journal of Iron and Steel, 2014, 21(2): 222-226. |
| [6] |
Xiao-jiang LIU,Guang-ming CAO,Yong-quan HE,Ming YANG,Zhen-yu LIU. Reduction of Oxide Scale with Hydrogen[J]. Chinese Journal of Iron and Steel, 2014, 21(1): 24-29. |
|
|
|
|
2013, Vol. 20 
