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首页|期刊导航|电机与控制应用|基于基波PWM激励和简化电流斜率测量的多相永磁同步电机转子位置估测技术

基于基波PWM激励和简化电流斜率测量的多相永磁同步电机转子位置估测技术

曲硕 高强 李睿

电机与控制应用2023,Vol.50Issue(12):10-20,11.
电机与控制应用2023,Vol.50Issue(12):10-20,11.DOI:10.12177/emca.2023.145

基于基波PWM激励和简化电流斜率测量的多相永磁同步电机转子位置估测技术

Sensorless Rotor Position Estimation for Dual Three-Phase PMSMs Using Fundamental PWM Excitation and Simplified Current Slope Measurement

曲硕 1高强 2李睿3

作者信息

  • 1. 上海交通大学智慧能源创新学院,上海 200240
  • 2. 上海交通大学电子信息与电气工程学院电气工程系,上海 200240||电力传输与功率变换控制教育部重点实验室,上海交通大学,上海 200240||上海交通大学风力发电研发中心,上海 200240
  • 3. 上海交通大学智慧能源创新学院,上海 200240||上海交通大学电子信息与电气工程学院电气工程系,上海 200240||电力传输与功率变换控制教育部重点实验室,上海交通大学,上海 200240||上海交通大学风力发电研发中心,上海 200240
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摘要

Abstract

The existing sensorless rotor position estimation technique for a dual-three phase permanent magnet synchronous motor(DTP-PMSM)that relies on the fundamental PWM excitation is able to achieve rotor position estimation at low and zero speeds without injecting high-frequency signals.However,it needs to take multiple current samples during individual active voltage vectors generated by a voltage source inverter.Although it is effective,the requirement on the multiple current sampling hinders its practical application.This paper therefore proposes a new algorithm to overcome the above shortcoming.The algorithm directly utilizes the saliency effect of dual three-phase PMSMs to extract the rotor position information in the average current derivatives of two adjacent PWM periods from the stationary coordinates by the synchronous sampling technique.The new algorithm allows a synchronous current sampling for both the rotor position estimation and the current control,which greatly eases the practical implementation.Finally,the proposed algorithm is effectively verified in a DTP-PMSM simulation model at low and zero speeds.

关键词

双三相永磁同步电机/无位置传感器/凸极效应/同步采样

Key words

dual three-phase permanent magnet synchronous motor(DTP-PMSM)/sensorless control/saliency effect/synchronous sampling

分类

信息技术与安全科学

引用本文复制引用

曲硕,高强,李睿..基于基波PWM激励和简化电流斜率测量的多相永磁同步电机转子位置估测技术[J].电机与控制应用,2023,50(12):10-20,11.

基金项目

国家自然科学基金(51477101)National Natural Science Foundation of China(51477101) (51477101)

电机与控制应用

OACSTPCD

1673-6540

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