基于鲁棒相移估计的旋转高频信号注入方法改进的IPMSM自感知控制

A. Messali, M. Hamida, M. Ghanes, M. Koteich
{"title":"基于鲁棒相移估计的旋转高频信号注入方法改进的IPMSM自感知控制","authors":"A. Messali, M. Hamida, M. Ghanes, M. Koteich","doi":"10.1109/DEMPED.2019.8864921","DOIUrl":null,"url":null,"abstract":"This paper introduces some improvements for self-sensing control of permanent magnet synchronous machine (PMSM) based on high frequency (HF) signal injection methods. The contribution is twofold. Firstly, a new robust phase-shift estimator is proposed to compensate the effect of used filters, the inverter, and the simpling time effects on the rotor position estimation. Secondly, this paper proposes also to remove the high-pass filters (HPF) used to separate the HF component from the rotor position information leading to reduce the cost and the complexity of the implementation. The proposed self-sensing strategy is completely independent of electrical (inductances) and mechanical (inertia and friction) machine parameters thanks to the proposed step-by-step sliding mode tracking algorithm. The effectiveness and the performance of the proposed strategy are confirmed by experimental study in the framework of electrical propulsion benchmark used in automotive applications.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"363 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Rotating HF signal injection method improvement based on robust phase-shift estimator for self-sensing control of IPMSM\",\"authors\":\"A. Messali, M. Hamida, M. Ghanes, M. Koteich\",\"doi\":\"10.1109/DEMPED.2019.8864921\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces some improvements for self-sensing control of permanent magnet synchronous machine (PMSM) based on high frequency (HF) signal injection methods. The contribution is twofold. Firstly, a new robust phase-shift estimator is proposed to compensate the effect of used filters, the inverter, and the simpling time effects on the rotor position estimation. Secondly, this paper proposes also to remove the high-pass filters (HPF) used to separate the HF component from the rotor position information leading to reduce the cost and the complexity of the implementation. The proposed self-sensing strategy is completely independent of electrical (inductances) and mechanical (inertia and friction) machine parameters thanks to the proposed step-by-step sliding mode tracking algorithm. The effectiveness and the performance of the proposed strategy are confirmed by experimental study in the framework of electrical propulsion benchmark used in automotive applications.\",\"PeriodicalId\":397001,\"journal\":{\"name\":\"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)\",\"volume\":\"363 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEMPED.2019.8864921\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEMPED.2019.8864921","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

介绍了基于高频信号注入方法对永磁同步电机自感知控制的改进。这种贡献是双重的。首先,提出了一种新的鲁棒相移估计器,以补偿所用滤波器、逆变器和简化时间对转子位置估计的影响。其次,本文还提出去除用于从转子位置信息中分离高频分量的高通滤波器(HPF),从而降低成本和实现的复杂性。由于所提出的逐步滑模跟踪算法,所提出的自感知策略完全独立于电(电感)和机械(惯性和摩擦)机器参数。在汽车电力推进基准的框架下进行了实验研究,验证了该策略的有效性和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rotating HF signal injection method improvement based on robust phase-shift estimator for self-sensing control of IPMSM
This paper introduces some improvements for self-sensing control of permanent magnet synchronous machine (PMSM) based on high frequency (HF) signal injection methods. The contribution is twofold. Firstly, a new robust phase-shift estimator is proposed to compensate the effect of used filters, the inverter, and the simpling time effects on the rotor position estimation. Secondly, this paper proposes also to remove the high-pass filters (HPF) used to separate the HF component from the rotor position information leading to reduce the cost and the complexity of the implementation. The proposed self-sensing strategy is completely independent of electrical (inductances) and mechanical (inertia and friction) machine parameters thanks to the proposed step-by-step sliding mode tracking algorithm. The effectiveness and the performance of the proposed strategy are confirmed by experimental study in the framework of electrical propulsion benchmark used in automotive applications.
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