上海交通大学学报（英文版） ›› 2011, Vol. 16 ›› Issue (5): 519-523.doi: 10.1007/s12204-011-1188-2
Looper-Tension H∞ Control for Hot Strip Finishing Mills
WANG Jing-cheng (王景成), ZHONG Zhao-zhun (仲兆准)
- (Key Laboratory of System Control and Information Processing, Ministry of Education of China;
Department of Automation, Shanghai Jiaotong University, Shanghai 200240, China)
-
收稿日期:2011-05-10出版日期:2011-10-29发布日期:2011-10-20 -
通讯作者:WANG Jing-cheng (王景成) E-mail: jcwang@sjtu.edu.cn -
基金资助:the National Natural Science Foundation of China(No.60934007), the Program for New Century Excellent Talents (No.NCET-08-0359), and the Shanghai Rising-Star Program (No.11QH1401300)
Looper-Tension H∞ Control for Hot Strip Finishing Mills
WANG Jing-cheng (王景成), ZHONG Zhao-zhun (仲兆准)
- (Key Laboratory of System Control and Information Processing, Ministry of Education of China;
Department of Automation, Shanghai Jiaotong University, Shanghai 200240, China)
-
Received:2011-05-10Online:2011-10-29Published:2011-10-20 -
Contact:WANG Jing-cheng (王景成) E-mail: jcwang@sjtu.edu.cn -
Supported by:the National Natural Science Foundation of China(No.60934007), the Program for New Century Excellent Talents (No.NCET-08-0359), and the Shanghai Rising-Star Program (No.11QH1401300)
摘要： Abstract: The development of an innovative H∞ controller for
looper and tension control in hot strip finishing mills is traced based on
approximately linearized model. This solution has been considered thanks to
its well-known robustness and simplicity characteristics concerning
disturbances' attenuation. The controller is designed based on an
optimal problem with linear matrix inequality (LMI) constraints, and the problem is
solved by the mincx function of Matlab LMI Toolbox. Simulation results show
the effectiveness of the proposed controller compared with conventional
ones.
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引用本文
WANG Jing-cheng (王景成), ZHONG Zhao-zhun (仲兆准). Looper-Tension H∞ Control for Hot Strip Finishing Mills[J]. 上海交通大学学报（英文版）, 2011, 16(5): 519-523.
WANG Jing-cheng (王景成), ZHONG Zhao-zhun (仲兆准). Looper-Tension H∞ Control for Hot Strip Finishing Mills[J]. Journal of shanghai Jiaotong University (Science), 2011, 16(5): 519-523.
使用本文
| 1 Choi I S, Rossiter J A, Fleming P J. Looper and tension control in hot rolling mills: A survey [J]. Journal of Process Control, 2007, 17(6): 509-521. 2 Li Bo-qun, Zhang Ke-jun, Fu Jian, et al. Adaptive neural network decoupling control for the loopers' height and tension system [J]. Control and Decision, 2006, 21(1): 46-50 (in Chinese). 3 Liu Tong-feng, Mu Zhi-chun. Looper decoupling control for hot strip mill based on differential geometry [J]. Control Engineering of China, 2007, 14(6): 580-582 (in Chinese). 4 Li Xu, Zhang Dian-hua, Zhou Na, et al. Decoupling looper height and tension control system with characteristic locus method [J]. Information and Control, 2005, 34(6): 665-668 (in Chinese). 5 Furlan R, Cuzzola F A, Parisini T. Friction compensation in the interstand looper of hot strip mills: A sliding-mode control approach [J]. Control Engineering Practice, 2008, 16(2): 214-224. 6 Zhong Zhao-zhun, Wang Jing-cheng, L\"{u Li-hua. Looper and tension control in hot strip finishing mills based on sliding mode and adaptive control [C]// Proceedings of the 8th World Congress on Intelligent Control and Automation. Jinan, China: IEEE, 2011: 1156-1161. 7 Sun Yi-kang. Model and control of strip tandem hot rolling [M]. Beijing, China: Metallurgy Industry Press, 2002 (in Chinese). 8 Yu Li. Robust control-LMI approaches [M]. Beijing, China: Tsinghua University Press, 2002 (in Chinese). |
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