Analysis and simulation studies for position sensorless BLDC motor drive with initial rotor position estimation

N. Pillai, A. Vipin, Remna Radhakrishnan
{"title":"Analysis and simulation studies for position sensorless BLDC motor drive with initial rotor position estimation","authors":"N. Pillai, A. Vipin, Remna Radhakrishnan","doi":"10.1109/ICNTE.2015.7029928","DOIUrl":null,"url":null,"abstract":"This paper presents a simulation for the sensorless operation of a BLDC motor drive with the estimation of initial rotor position at standstill. The system determines the actual rotor position of the motor at standstill and provides appropriate starting pulses to inverter switches to turn on. Once the motor starts to rotate, it then directly extracts the back EMF from the motor terminals between the floating phase and the mid-point of DC link. Inductance variation sensing method is used for estimating the initial rotor position of the motor followed by a sensorless operation by back EMF sensing method. The principle behind the rotor position estimation is detection and comparison of phase voltage and dc link current responses and relating it with the stator inductances. The most advantage of this method is that it requires only three voltage pulse injections of small duration for the estimation of rotor position. A resolution of 30° can be achieved. The effectiveness of the method is validated by simulation results in Matlab Simulink platform.","PeriodicalId":186188,"journal":{"name":"2015 International Conference on Nascent Technologies in the Engineering Field (ICNTE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Nascent Technologies in the Engineering Field (ICNTE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNTE.2015.7029928","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

This paper presents a simulation for the sensorless operation of a BLDC motor drive with the estimation of initial rotor position at standstill. The system determines the actual rotor position of the motor at standstill and provides appropriate starting pulses to inverter switches to turn on. Once the motor starts to rotate, it then directly extracts the back EMF from the motor terminals between the floating phase and the mid-point of DC link. Inductance variation sensing method is used for estimating the initial rotor position of the motor followed by a sensorless operation by back EMF sensing method. The principle behind the rotor position estimation is detection and comparison of phase voltage and dc link current responses and relating it with the stator inductances. The most advantage of this method is that it requires only three voltage pulse injections of small duration for the estimation of rotor position. A resolution of 30° can be achieved. The effectiveness of the method is validated by simulation results in Matlab Simulink platform.
基于初始转子位置估计的无位置传感器无刷直流电机驱动分析与仿真研究
本文提出了一种无刷直流电机无传感器运行的仿真方法,估计了静止状态下转子的初始位置。该系统确定电机在静止状态下的实际转子位置,并为逆变器开关提供适当的启动脉冲。一旦电机开始旋转,它就直接从浮相和直流链路中点之间的电机端子提取反电动势。采用电感变化感应法估计电机的初始转子位置,然后采用反电动势感应法进行无传感器运行。转子位置估计背后的原理是检测和比较相电压和直流链路电流响应,并将其与定子电感相关联。该方法的最大优点是只需三次持续时间较短的电压脉冲注入即可估计转子位置。可以达到30°的分辨率。通过Matlab Simulink平台上的仿真结果验证了该方法的有效性。
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 求助全文
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