永磁同步电动机的调制模型预测控制

Fan Zhang, Tao Peng, Hanbing Dan, Jianheng Lin, M. Su
{"title":"永磁同步电动机的调制模型预测控制","authors":"Fan Zhang, Tao Peng, Hanbing Dan, Jianheng Lin, M. Su","doi":"10.1109/IESES.2018.8349861","DOIUrl":null,"url":null,"abstract":"In this paper a modulated model predictive control (MMPC) scheme for permanent magnet synchronous motor is proposed. The proposed strategy combines field orientation control with modulated model predictive control. It not only ensures the quick response of the system and low torque ripple of PMSM, but also obtains a fixed switching frequency. Eventually, simulation results validate the perfect performance of the proposed method.","PeriodicalId":146951,"journal":{"name":"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Modulated model predictive control of permanent magnet synchronous motor\",\"authors\":\"Fan Zhang, Tao Peng, Hanbing Dan, Jianheng Lin, M. Su\",\"doi\":\"10.1109/IESES.2018.8349861\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a modulated model predictive control (MMPC) scheme for permanent magnet synchronous motor is proposed. The proposed strategy combines field orientation control with modulated model predictive control. It not only ensures the quick response of the system and low torque ripple of PMSM, but also obtains a fixed switching frequency. Eventually, simulation results validate the perfect performance of the proposed method.\",\"PeriodicalId\":146951,\"journal\":{\"name\":\"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IESES.2018.8349861\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IESES.2018.8349861","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

提出了一种永磁同步电动机的调制模型预测控制方案。该策略将场定向控制与调制模型预测控制相结合。它不仅保证了系统的快速响应和PMSM的低转矩脉动,而且获得了固定的开关频率。最后,仿真结果验证了该方法的良好性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modulated model predictive control of permanent magnet synchronous motor
In this paper a modulated model predictive control (MMPC) scheme for permanent magnet synchronous motor is proposed. The proposed strategy combines field orientation control with modulated model predictive control. It not only ensures the quick response of the system and low torque ripple of PMSM, but also obtains a fixed switching frequency. Eventually, simulation results validate the perfect performance of the proposed method.
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