Stator feed-forward voltage estimation for position sensorless PMSM drive using MRAS technique

Rajesh M. Pindoriya, Kumar V. Tejan, Bharat S. Rajpurohit
{"title":"Stator feed-forward voltage estimation for position sensorless PMSM drive using MRAS technique","authors":"Rajesh M. Pindoriya, Kumar V. Tejan, Bharat S. Rajpurohit","doi":"10.1504/ijpelec.2023.134443","DOIUrl":null,"url":null,"abstract":"For the driving of the permanent magnet synchronous motor (PMSM), a method for rotor position and speed estimates is presented in this research. The model reference adaptive system (MRAS) technology combined with stator feed-forward voltage estimation (FFVE) is the proposed approach. The suggested approach continuously updates the FFVE model while also estimating machine parameters for a closed-loop drive system like rotor flux linkage and stator resistance. In order to enhance the system's overall dynamics and stability and to get rid of transient oscillation in speed estimate, this study also includes a phase-lock loop (PLL) speed estimation approach. Analysed and experimentally validated under various operating situations, the proposed method's superiority in terms of the steady-state and dynamic performance of sensorless control of PMSM drives is examined.","PeriodicalId":38624,"journal":{"name":"International Journal of Power Electronics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Power Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijpelec.2023.134443","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

For the driving of the permanent magnet synchronous motor (PMSM), a method for rotor position and speed estimates is presented in this research. The model reference adaptive system (MRAS) technology combined with stator feed-forward voltage estimation (FFVE) is the proposed approach. The suggested approach continuously updates the FFVE model while also estimating machine parameters for a closed-loop drive system like rotor flux linkage and stator resistance. In order to enhance the system's overall dynamics and stability and to get rid of transient oscillation in speed estimate, this study also includes a phase-lock loop (PLL) speed estimation approach. Analysed and experimentally validated under various operating situations, the proposed method's superiority in terms of the steady-state and dynamic performance of sensorless control of PMSM drives is examined.
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
基于MRAS技术的无位置传感器永磁同步电机定子前馈电压估计
针对永磁同步电机的驱动问题,提出了一种转子位置和转速估计方法。将模型参考自适应系统(MRAS)技术与定子前馈电压估计(FFVE)相结合。该方法在不断更新FFVE模型的同时,对转子磁链和定子电阻等闭环驱动系统的机器参数进行估计。为了提高系统的整体动态性和稳定性,并消除速度估计中的瞬态振荡,本研究还引入了锁相环速度估计方法。在各种工况下进行了分析和实验验证,验证了该方法在永磁同步电动机无传感器控制的稳态和动态性能方面的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Power Electronics
International Journal of Power Electronics Engineering-Electrical and Electronic Engineering
CiteScore
1.30
自引率
0.00%
发文量
84
期刊最新文献
An Approach for Commutation Current Ripple Alleviation in BLDCM Drive Using Novel DC-DC Converter Single Switch High Voltage Gain DC-DC Converter for Renewable Energy Applications Less-Rare-Earth Permanent Magnet Synchronous Motor: A Novel Structure and Its Vibration Analysis A study on attraction type electromagnetic levitation systems for four different shaped objects Comprehensive Analysis of BLDC Motor Faults in Electric Vehicle Transportation
×
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