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| Application of distributed model predictive control based on neighborhood optimization in gauge–looper integrated system of tandem hot rolling |
| Jie Sun1, Fan Hou1, Yun-jian Hu1, Long-jun Wang1, Hao-yue Jin1, Wen Peng1, Xiao-jian Li1, Dian-hua Zhang1 |
| 1 State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, Liaoning, China |
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Abstract To solve the coupling relationship between the strip automatic gauge control and the looper control in traditional control strategy of tandem hot rolling, a distributed model predictive control (DMPC) strategy for the tandem hot rolling was explored, and a series of simulation experiments were carried out. Firstly, based on the state space analysis method, the multivariable dynamic transition process of hot strip rolling was studied, and the state space model of a gauge–looper integrated system in tandem hot rolling was established. Secondly, DMPC strategy based on neighborhood optimization was proposed, which fully considered the coupling relationship in this integrated system. Finally, a series of experiments simulating disturbances and emergency situations were completed with actual rolling data. The experimental results showed that the proposed DMPC control strategy had better performance compared with the traditional proportional– integral control and centralized model predictive control, which is applicable for the gauge–looper integrated system.
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| Cite this article: |
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Jie Sun,Fan Hou,Yun-jian Hu, et al. Application of distributed model predictive control based on neighborhood optimization in gauge–looper integrated system of tandem hot rolling[J]. Journal of Iron and Steel Research International, 2023, 30(02): 277-292.
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| [1] |
A. Triwiyono, A.L. Han, A. Aryanto, S. Tudjono, B.S. Gan. Effect of specimen gauge reduction on uniaxial tension properties of reinforcing steel[J]. JOURNAL OF IRON AND STEEL RESEARCH,INTERNATIONAL, 2020, 27(8): 964-971. |
| [2] |
Jie-bin Qi, Xin-xin Wang, Xiao-qiang Yan. Influence of mill modulus control gain on vibration in hot rolling mills[J]. JOURNAL OF IRON AND STEEL RESEARCH,INTERNATIONAL, 2020, 27(5): 528-536. |
| [3] |
Jing Qin, De-fu Liu, Ye Yue, Hong-jin Zhao, Chao-bin Lai. Effect of normalization on texture evolution of 0.2-mm-thick thingauge non-oriented electrical steels with strong g-fiber textures[J]. JOURNAL OF IRON AND STEEL RESEARCH,INTERNATIONAL, 2019, 26(11): 1219-1227. |
| [4] |
Shui-ze WANG,,Yong-lin KANG,Guo-ming ZHU,Wen LIANG. Influence of Residual Stress on Shape of Heavy-gauge, High-strength Steel Caused by Cooling Process after Hot Rolling[J]. Chinese Journal of Iron and Steel, 2016, 23(6): 547-552. |
| [5] |
Yu ZHANG,Jian TAN. Numerical Simulation and Vertical Motion Control of Rolls for Variable Gauge Rolling[J]. Chinese Journal of Iron and Steel, 2015, 22(8): 703-708. |
| [6] |
ZHANG Guang-ji,LIU Xiang-hua,HU Xian-lei,ZHI Ying. Horizontal Velocity of Variable Gauge Rolling: Theory and Finite Elements Simulation[J]. Chinese Journal of Iron and Steel, 2013, 20(10): 10-16. |
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2023, Vol. 30 
