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双三相永磁同步电机改进型模型预测电流控制

高锋阳 徐昊 杨凯文 史志龙 高智山 强雅昕

湖南大学学报(自然科学版)2024,Vol.51Issue(2):81-92,12.
湖南大学学报(自然科学版)2024,Vol.51Issue(2):81-92,12.DOI:10.16339/j.cnki.hdxbzkb.2024228

双三相永磁同步电机改进型模型预测电流控制

Improved Model Predictive Current Control for Dual Three-phase Permanent Magnet Synchronous Motor

高锋阳 1徐昊 1杨凯文 1史志龙 1高智山 1强雅昕1

作者信息

  • 1. 兰州交通大学 自动化与电气工程学院,甘肃 兰州 730070
  • 折叠

摘要

Abstract

An improved model prediction current control is proposed to address the disadvantages of the model predictive common-mode voltage suppression method for double-three-phase permanent magnet synchronous motors,including the size of the optimization calculation,high switching frequency,and poor steady-state performance.Firstly,the six-phase two-level inverter is improved for reducing the common-mode voltage of zero-vectors.Secondly,the virtual voltage vector is constructed by choosing small common-mode voltage vectors,which simplifies the value function and reduces the common-mode voltage and current harmonics.Then,the optimal voltage vector is directly selected by calculating the reference voltage vector to reduce the number of optimization-seeking times,and the duty cycle control is introduced to enhance the motor control accuracy and steady-state performance.Finally,the traditional model predictive current control,RCMV(reduced common mode voltage)-1,RCMV-2,and the proposed control method are simulated and compared.The results show that the proposed control method reduces the torque pulsations and harmonic currents while decreases the common-mode voltage,and the switching frequency is significantly lower than that of the RCMV-2 method.In addition,the execution time of the optimization-seeking code is reduced by about 91%and 65%compared with RCMV-1 and RCMV-2,respectively,which reduces the computational amount.

关键词

双三相永磁同步电机/模型预测控制/共模电压/开关频率

Key words

dual three-phase permanent magnet synchronous motor/model predictive control/common-mode voltage/switching frequency

分类

动力与电气工程

引用本文复制引用

高锋阳,徐昊,杨凯文,史志龙,高智山,强雅昕..双三相永磁同步电机改进型模型预测电流控制[J].湖南大学学报(自然科学版),2024,51(2):81-92,12.

基金项目

国家自然科学基金资助项目(52267004),National Natural Science Foundation of China(52267004) (52267004)

湖南大学学报(自然科学版)

OA北大核心CSTPCD

1674-2974

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