基于ekf的磁链弱化应用的无传感器IPM同步电机驱动

S. Bolognani, L. Tubiana, M. Zigliotto
{"title":"基于ekf的磁链弱化应用的无传感器IPM同步电机驱动","authors":"S. Bolognani, L. Tubiana, M. Zigliotto","doi":"10.1109/IAS.2002.1044075","DOIUrl":null,"url":null,"abstract":"The paper deals with the experimental realisation of a sensorless interior permanent magnet (IPM) synchronous motor drive. The motor has been specifically designed to get a wide flux-weakening region, to minimise the drive power rating in spite of a wide speed range. Position and angular speed of the rotor are obtained through an extended Kalman filter (EKF). The estimation algorithm requires neither the knowledge of the mechanical parameters, nor the initial rotor position. In the paper, particular emphasis is placed on control algorithms, that are complicated by the motor anisotropy and that have been specifically studied to enhance the overall system performance.","PeriodicalId":202482,"journal":{"name":"Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"85","resultStr":"{\"title\":\"EKF-based sensorless IPM synchronous motor drive for flux-weakening applications\",\"authors\":\"S. Bolognani, L. Tubiana, M. Zigliotto\",\"doi\":\"10.1109/IAS.2002.1044075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper deals with the experimental realisation of a sensorless interior permanent magnet (IPM) synchronous motor drive. The motor has been specifically designed to get a wide flux-weakening region, to minimise the drive power rating in spite of a wide speed range. Position and angular speed of the rotor are obtained through an extended Kalman filter (EKF). The estimation algorithm requires neither the knowledge of the mechanical parameters, nor the initial rotor position. In the paper, particular emphasis is placed on control algorithms, that are complicated by the motor anisotropy and that have been specifically studied to enhance the overall system performance.\",\"PeriodicalId\":202482,\"journal\":{\"name\":\"Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"85\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAS.2002.1044075\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS.2002.1044075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 85

摘要

本文研究了无传感器内嵌式永磁同步电机驱动的实验实现。该电机已专门设计,以获得一个宽的磁通减弱区域,以尽量减少驱动功率额定值,尽管在一个宽的速度范围。通过扩展卡尔曼滤波(EKF)得到转子的位置和角速度。该估计算法既不需要知道机械参数,也不需要知道转子的初始位置。在本文中,特别强调的是控制算法,这是复杂的电机各向异性,并已专门研究,以提高整体系统性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EKF-based sensorless IPM synchronous motor drive for flux-weakening applications
The paper deals with the experimental realisation of a sensorless interior permanent magnet (IPM) synchronous motor drive. The motor has been specifically designed to get a wide flux-weakening region, to minimise the drive power rating in spite of a wide speed range. Position and angular speed of the rotor are obtained through an extended Kalman filter (EKF). The estimation algorithm requires neither the knowledge of the mechanical parameters, nor the initial rotor position. In the paper, particular emphasis is placed on control algorithms, that are complicated by the motor anisotropy and that have been specifically studied to enhance the overall system performance.
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