Finite-set model predictive control of the two-mass-system

Esteban J. Fuentes, R. Kennel
{"title":"Finite-set model predictive control of the two-mass-system","authors":"Esteban J. Fuentes, R. Kennel","doi":"10.1109/PRECEDE.2011.6078734","DOIUrl":null,"url":null,"abstract":"This paper presents the design of a control scheme for the two-mass-system based on the Finite-Set Model Predictive Control method. The whole system state is controlled in a centralized way, so that the problem is solved more holistically, that is to say, using all degrees of freedom available. Constraints in the prediction horizon, given by the limited computation power and speed of the system dynamics, and the consequent myopic perspective of the controller, are solved by means of an ad-hoc cost function. The control is done using measurements of the stator currents and the speed of the driving machine. The rest of the system state is estimated using a Kalman Filter.","PeriodicalId":406910,"journal":{"name":"2011 Workshop on Predictive Control of Electrical Drives and Power Electronics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Workshop on Predictive Control of Electrical Drives and Power Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRECEDE.2011.6078734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

This paper presents the design of a control scheme for the two-mass-system based on the Finite-Set Model Predictive Control method. The whole system state is controlled in a centralized way, so that the problem is solved more holistically, that is to say, using all degrees of freedom available. Constraints in the prediction horizon, given by the limited computation power and speed of the system dynamics, and the consequent myopic perspective of the controller, are solved by means of an ad-hoc cost function. The control is done using measurements of the stator currents and the speed of the driving machine. The rest of the system state is estimated using a Kalman Filter.
双质量系统的有限集模型预测控制
本文提出了一种基于有限集模型预测控制方法的双质量系统控制方案的设计。整个系统状态以一种集中的方式进行控制,从而更全面地解决问题,也就是说,使用所有可用的自由度。由于系统动力学的计算能力和速度有限,以及由此产生的控制器的短视视角,对预测范围的约束通过一个特别的代价函数来解决。控制是通过测量定子电流和驱动机器的速度来完成的。系统状态的其余部分使用卡尔曼滤波器估计。
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:604180095
Book学术官方微信