On model predictive control of the lateral strip motion in tandem hot rolling mills

IF 3.3 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Ulrich Knechtelsdorfer , Martin Stefan Baumann , Andreas Steinboeck , Andreas Kugi
{"title":"On model predictive control of the lateral strip motion in tandem hot rolling mills","authors":"Ulrich Knechtelsdorfer ,&nbsp;Martin Stefan Baumann ,&nbsp;Andreas Steinboeck ,&nbsp;Andreas Kugi","doi":"10.1016/j.jprocont.2025.103463","DOIUrl":null,"url":null,"abstract":"<div><div>Almost all flat steel production involves processing in a tandem hot strip finishing mill. The mass flow in the hot strip finishing mill influences final product’s quality and the stability of the process. The mass flow can be categorized into longitudinal and lateral depending on its main direction. Uncontrolled lateral strip movement may lead to plant damage; therefore, the lateral strip motion must be controlled. An existing model for the lateral strip motion is extended to serve as a basis for a model predictive controller. The controller systematically respects the limits of the manipulated variable, its time derivative, and the lateral position of the strip and shows good convergence behavior. The proposed control strategy works on top of the control structure currently applied at the plant. A state observer is proposed for the angle and position of the strip in the roll gap, which are not directly measurable but are required by the model predictive controller. The observer also estimates the camber of the strip in the finishing mill, which is valuable information for the operators. The efficacy of the proposed control structure is evaluated by simulation studies utilizing a mathematical plant model validated by measurements.</div></div>","PeriodicalId":50079,"journal":{"name":"Journal of Process Control","volume":"152 ","pages":"Article 103463"},"PeriodicalIF":3.3000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Process Control","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959152425000915","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Almost all flat steel production involves processing in a tandem hot strip finishing mill. The mass flow in the hot strip finishing mill influences final product’s quality and the stability of the process. The mass flow can be categorized into longitudinal and lateral depending on its main direction. Uncontrolled lateral strip movement may lead to plant damage; therefore, the lateral strip motion must be controlled. An existing model for the lateral strip motion is extended to serve as a basis for a model predictive controller. The controller systematically respects the limits of the manipulated variable, its time derivative, and the lateral position of the strip and shows good convergence behavior. The proposed control strategy works on top of the control structure currently applied at the plant. A state observer is proposed for the angle and position of the strip in the roll gap, which are not directly measurable but are required by the model predictive controller. The observer also estimates the camber of the strip in the finishing mill, which is valuable information for the operators. The efficacy of the proposed control structure is evaluated by simulation studies utilizing a mathematical plant model validated by measurements.
热连轧带钢横向运动的模型预测控制
几乎所有的扁钢生产都涉及到在热连轧带钢精轧机中进行加工。带钢热轧机内的质量流动直接影响到最终产品的质量和过程的稳定性。质量流根据其主要流向可分为纵向流和横向流。不受控制的横向条形运动可能导致植物受损;因此,必须控制横向带钢运动。对已有的横带运动模型进行了扩展,作为模型预测控制器的基础。该控制器系统地尊重被控变量的极限、被控变量的时间导数和条带的横向位置,并表现出良好的收敛性。所提出的控制策略是在目前工厂应用的控制结构之上工作的。提出了一种状态观测器,用于不能直接测量但模型预测控制器要求的带钢在辊缝中的角度和位置。观察员还估计了精轧机中带钢的弧度,这对操作员来说是有价值的信息。所提出的控制结构的有效性是通过仿真研究评估利用数学植物模型验证了测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Process Control
Journal of Process Control 工程技术-工程:化工
CiteScore
7.00
自引率
11.90%
发文量
159
审稿时长
74 days
期刊介绍: This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信