永磁同步电机的模型预测控制

S. Chai, Liuping Wang, E. Rogers
{"title":"永磁同步电机的模型预测控制","authors":"S. Chai, Liuping Wang, E. Rogers","doi":"10.1109/IECON.2011.6119601","DOIUrl":null,"url":null,"abstract":"This paper describes the application of Model Predictive Control (MPC) to speed control of a Permanent Magnet Synchronous Motor (PMSM). The MPC design is based on a linearized state space representation of the nonlinear PMSM model. Hildreth's procedure is employed to solve the quadratic programming problem for the input voltage constraints online and supporting experimental results are also given.","PeriodicalId":105539,"journal":{"name":"IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Model Predictive Control of a Permanent Magnet Synchronous Motor\",\"authors\":\"S. Chai, Liuping Wang, E. Rogers\",\"doi\":\"10.1109/IECON.2011.6119601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the application of Model Predictive Control (MPC) to speed control of a Permanent Magnet Synchronous Motor (PMSM). The MPC design is based on a linearized state space representation of the nonlinear PMSM model. Hildreth's procedure is employed to solve the quadratic programming problem for the input voltage constraints online and supporting experimental results are also given.\",\"PeriodicalId\":105539,\"journal\":{\"name\":\"IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.2011.6119601\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2011.6119601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

摘要

本文介绍了模型预测控制(MPC)在永磁同步电动机速度控制中的应用。MPC的设计是基于非线性永磁同步电机模型的线性化状态空间表示。采用Hildreth程序在线求解了输入电压约束的二次规划问题,并给出了相应的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Model Predictive Control of a Permanent Magnet Synchronous Motor
This paper describes the application of Model Predictive Control (MPC) to speed control of a Permanent Magnet Synchronous Motor (PMSM). The MPC design is based on a linearized state space representation of the nonlinear PMSM model. Hildreth's procedure is employed to solve the quadratic programming problem for the input voltage constraints online and supporting experimental results are also given.
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
期刊最新文献
Vibration suppression of resonant system by using wave compensator Planning and implementation of motion trajectory based on C2 PH spline Optimal dynamic quantizer based acceleration control with narrow bandwidth Grid-based localization and mapping method without odometry information Novel stability analysis of variable step size incremental resistance INR MPPT for PV systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1