The control performance evaluation of the selected On-line robust MPC approaches

J. Oravec, M. Bakosová
{"title":"The control performance evaluation of the selected On-line robust MPC approaches","authors":"J. Oravec, M. Bakosová","doi":"10.1109/PC.2013.6581400","DOIUrl":null,"url":null,"abstract":"The on-line robust constrained MPC is able to handle the system uncertainties and optimize the control performance. The paper describes the case study of chemical reactor stabilization in unstable operating point using four robust MPC approaches. The control scenarios were based on the worst-case optimization and the nominal system optimization. Moreover, the control strategies differ in usage of the single Lyapunov function and the parameter-dependent Lyapunov functions. The simulation results confirmed that using the nominal system optimization improved the control performance and the value of the cost function was reduced.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Process Control (PC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PC.2013.6581400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The on-line robust constrained MPC is able to handle the system uncertainties and optimize the control performance. The paper describes the case study of chemical reactor stabilization in unstable operating point using four robust MPC approaches. The control scenarios were based on the worst-case optimization and the nominal system optimization. Moreover, the control strategies differ in usage of the single Lyapunov function and the parameter-dependent Lyapunov functions. The simulation results confirmed that using the nominal system optimization improved the control performance and the value of the cost function was reduced.
所选在线鲁棒MPC方法的控制性能评价
在线鲁棒约束MPC能够处理系统的不确定性,优化控制性能。本文介绍了应用四种鲁棒MPC方法实现化学反应器不稳定工作点稳定化的实例研究。控制方案基于最坏情况优化和标称系统优化。此外,控制策略在单个Lyapunov函数和参数相关Lyapunov函数的使用上有所不同。仿真结果表明,标称系统优化提高了控制性能,降低了成本函数的值。
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
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信