Algorithm Design and Application of Laminar Cooling Feedback Control in Hot Strip Mill
LIU En-yang1,ZHANG Dian-hua1,SUN Jie1,PENG Liang-gui1,GAO Bai-hong2,SU Li-tao3
1. State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, Liaoning,China 2. Shenyang Machine Tool Co Ltd, Shenyang 110004, Liaoning, China 3. Sales Company of Shougang Group, Beijing 100043, China
Algorithm Design and Application of Laminar Cooling Feedback Control in Hot Strip Mill
LIU En-yang1,ZHANG Dian-hua1,SUN Jie1,PENG Liang-gui1,GAO Bai-hong2,SU Li-tao3
1. State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, Liaoning,China 2. Shenyang Machine Tool Co Ltd, Shenyang 110004, Liaoning, China 3. Sales Company of Shougang Group, Beijing 100043, China
ժҪ Abstract�� Feedback control is one of the most important ways to improve coiling temperature control precision during laminar cooling process. Laminar cooling equipments of a hot strip mill and structure of the control system were introduced. Feedback control algorithm based on PI controller and that based on Smith predictor were designed and tested in a hot strip mill respectively. Practical application shows that the feedback control system based on PI controller plays a limited role in improving coiling temperature control precision. The feedback control system based on Smith predictor runs stable and reliable. When the measured coiling temperature deviates from the target value, it can be adjusted to the required range quickly and steadily by Smith predictor feedback control, which improves the coiling temperature control precision greatly, and qualities of hot rolled strips are improved significantly.
Abstract��Abstract�� Feedback control is one of the most important ways to improve coiling temperature control precision during laminar cooling process. Laminar cooling equipments of a hot strip mill and structure of the control system were introduced. Feedback control algorithm based on PI controller and that based on Smith predictor were designed and tested in a hot strip mill respectively. Practical application shows that the feedback control system based on PI controller plays a limited role in improving coiling temperature control precision. The feedback control system based on Smith predictor runs stable and reliable. When the measured coiling temperature deviates from the target value, it can be adjusted to the required range quickly and steadily by Smith predictor feedback control, which improves the coiling temperature control precision greatly, and qualities of hot rolled strips are improved significantly.
LIU En-yang,ZHANG Dian-hua,SUN Jie,PENG Liang-gui,GAO Bai-hong,SU Li-tao. Algorithm Design and Application of Laminar Cooling Feedback Control in Hot Strip Mill[J]. �й������ڿ���, 2012, 19(4): 39-42.
LIU En-yang,ZHANG Dian-hua,SUN Jie,PENG Liang-gui,GAO Bai-hong,SU Li-tao. Algorithm Design and Application of Laminar Cooling Feedback Control in Hot Strip Mill. Chinese Journal of Iron and Steel, 2012, 19(4): 39-42.
2012, Vol. 19 
