Skip to main navigation Skip to search Skip to main content

基于滑动平均滤波的永磁电机无位置传感器控制策略

Translated title of the contribution: Sensorless Control Strategy of Permanent Magnet Motor Based on Moving Average Filtering
  • School of Electrical Engineering and Automation, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Sensorless control of PMSM can significantly improve the robustness and reliability of the drive system and reduce the cost. Aiming at the problem of system performance degradation caused by filtering in sensorless control based on high frequency signal injection, an improved sensorless control strategy based on moving average filtering is proposed. First of all, based on the analysis of the high frequency signal processing part of current loop and the rotor position based on observed performance impact, a kind of sensorless control method based on moving average filter is put forward. Instead of the position error in the feedback path in the current loop and link of the traditional filter, the moving average filter is used in this method, the control performance without sensor system is improved. Experimental results show that the harmonic content of feedback current is reduced and the bandwidth of the system is effectively improved in this method. At the same time, the high frequency current can be extracted effectively and the dynamic performance of position observation can be improved.

Translated title of the contributionSensorless Control Strategy of Permanent Magnet Motor Based on Moving Average Filtering
Original languageChinese (Traditional)
Pages (from-to)93-100
Number of pages8
JournalJournal of Electrical Engineering (China)
Volume16
Issue number4
DOIs
StatePublished - Dec 2021
Externally publishedYes

Fingerprint

Dive into the research topics of 'Sensorless Control Strategy of Permanent Magnet Motor Based on Moving Average Filtering'. Together they form a unique fingerprint.

Cite this