Application of distributed model predictive control based on neighborhood optimization in gauge–looper integrated system of tandem hot rolling

被引:0
|
作者
Jie Sun
Fan Hou
Yun-jian Hu
Long-jun Wang
Hao-yue Jin
Wen Peng
Xiao-jian Li
Dian-hua Zhang
机构
[1] Northeastern University,State Key Laboratory of Rolling and Automation
关键词
Tandem hot rolling; Gauge; Looper integrated system; State space model; Distributed model predictive control; Neighborhood optimization;
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中图分类号
学科分类号
摘要
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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页码:277 / 292
页数:15
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