模型预测控制工业驱动应用

G. Mirzaeva, Yunxun Mo
{"title":"模型预测控制工业驱动应用","authors":"G. Mirzaeva, Yunxun Mo","doi":"10.1109/PCIC42668.2022.10181247","DOIUrl":null,"url":null,"abstract":"Over the last two decades, Model Predictive Control (MPC) has gained popularity in the published research on power electronics. It is argued in the literature that MPC is well-suited for industrial variable speed drive (VSD) applications, due to its flexible and multi-objective nature. However, the adoption of MPC by industry has been slow. This paper reviews the VSD control strategies currently accepted by industry. It formulates expectations and determines the existing barriers for using MPC in VSD applications. The paper proposes a number of modifications to enhance the MPC performance and to offer new benefits to industry, compared to the existing solutions. The results of the paper are supported by simulations and validated by experiment.","PeriodicalId":301848,"journal":{"name":"2022 IEEE IAS Petroleum and Chemical Industry Technical Conference (PCIC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Model Predictive Control For Industrial Drive Applications\",\"authors\":\"G. Mirzaeva, Yunxun Mo\",\"doi\":\"10.1109/PCIC42668.2022.10181247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Over the last two decades, Model Predictive Control (MPC) has gained popularity in the published research on power electronics. It is argued in the literature that MPC is well-suited for industrial variable speed drive (VSD) applications, due to its flexible and multi-objective nature. However, the adoption of MPC by industry has been slow. This paper reviews the VSD control strategies currently accepted by industry. It formulates expectations and determines the existing barriers for using MPC in VSD applications. The paper proposes a number of modifications to enhance the MPC performance and to offer new benefits to industry, compared to the existing solutions. The results of the paper are supported by simulations and validated by experiment.\",\"PeriodicalId\":301848,\"journal\":{\"name\":\"2022 IEEE IAS Petroleum and Chemical Industry Technical Conference (PCIC)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE IAS Petroleum and Chemical Industry Technical Conference (PCIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCIC42668.2022.10181247\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE IAS Petroleum and Chemical Industry Technical Conference (PCIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCIC42668.2022.10181247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在过去的二十年中,模型预测控制(MPC)在电力电子领域的研究中得到了广泛的应用。在文献中认为,MPC是非常适合于工业变速驱动(VSD)的应用,由于其灵活性和多目标的性质。然而,工业采用MPC的速度很慢。本文综述了目前工业上公认的VSD控制策略。它制定了在VSD应用中使用MPC的期望并确定了现有的障碍。与现有的解决方案相比,本文提出了一些改进方案,以提高MPC的性能,并为工业提供新的效益。本文的研究结果得到了仿真的支持和实验的验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model Predictive Control For Industrial Drive Applications
Over the last two decades, Model Predictive Control (MPC) has gained popularity in the published research on power electronics. It is argued in the literature that MPC is well-suited for industrial variable speed drive (VSD) applications, due to its flexible and multi-objective nature. However, the adoption of MPC by industry has been slow. This paper reviews the VSD control strategies currently accepted by industry. It formulates expectations and determines the existing barriers for using MPC in VSD applications. The paper proposes a number of modifications to enhance the MPC performance and to offer new benefits to industry, compared to the existing solutions. The results of the paper are supported by simulations and validated by experiment.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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