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改进的广义二阶积分器的高频脉振方波电压注入PMSM无传感器控制

李磊 卢建宁 廖志鹏

现代电子技术2024,Vol.47Issue(20):8-12,5.
现代电子技术2024,Vol.47Issue(20):8-12,5.DOI:10.16652/j.issn.1004-373x.2024.20.002

改进的广义二阶积分器的高频脉振方波电压注入PMSM无传感器控制

High-frequency pulsating square wave voltage injection PMSM for sensorless control based on improved SOGI

李磊 1卢建宁 1廖志鹏1

作者信息

  • 1. 上海应用技术大学 电气与电子工程学院,上海 201418
  • 折叠

摘要

Abstract

In the permanent magnet synchronous motor(PMSM)sensorless control system based on the traditional high frequency pulsating square wave voltage injection algorithm,multiple filters are used to extract the current loop feedback current and the high frequency response current,so as to obtain rotor position information,which can cause system delay and estimation error.On this basis,a sensorless control strategy based on second-order generalized integrator(SOGI)is proposed.Different from other methods that only extract high frequency square wave response current based on SOGI characteristics to detect rotor position,the proposed method can extract the feedback fundamental frequency current signal by means of SOGI in current-loop double-loop control.On the basis of this control system,SOGI is used at the rotor speed loop to extract the high-frequency response current signal containing the position information of the motor rotor,and SOGI is re-designed.The high-order Butterworth filter is added to its structure to improve the anti-harmonic attenuation ability and improve its dynamic performance.The simulation model is built in Simulink for verification.The experimental results demonstrate that,in comparison with traditional methods,this method has better dynamic performance and anti-interference ability.

关键词

高频脉振方波/永磁同步电机/无传感器控制/广义二阶积分器/双环控制/巴特沃斯滤波器

Key words

high frequency pulsating square wave/permanent magnet synchronous motor/sensorless control/generalized second-order integrator/double-loop control/Butterworth filter

分类

电子信息工程

引用本文复制引用

李磊,卢建宁,廖志鹏..改进的广义二阶积分器的高频脉振方波电压注入PMSM无传感器控制[J].现代电子技术,2024,47(20):8-12,5.

现代电子技术

OA北大核心CSTPCD

1004-373X

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