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

作　　者：Jie Sun Fan Hou Yun-jian Hu Long-jun Wang Hao-yue Jin Wen Peng Xiao-jian Li Dian-hua Zhang 

机构地区：[1]State Key Laboratory of Rolling and Automation,Northeastern University,Shenyang,110819,Liaoning,China

出　　处：《Journal of Iron and Steel Research International》2023年第2期277-292,共16页

基　　金：This work was supported by the National Key R&D Program of China(Grant Nos.2018YFB1308700);the National Natural Science Foundation of China(Grant Nos.U21A20117 and 52074085;the Fundamental Research Funds for the Central Univer-sities(Grant No.N2004010);the Liaoning Revitalization Talents651 Program(XLYC1907065).

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.

关 键 词：Tandem hot rolling GAUGE Looper integrated system State space model Distributed model predictive control Neighborhood optimization 

分 类 号：TG3[金属学及工艺—金属压力加工]