摘要
现有基于虚拟正弦信号注入(virtual sine signal injection,VSSI)的最大转矩电流比(maximum torque per ampere,MTPA)控制方法以理想永磁同步电动机(permanent magnet synchronous machine,PMSM)数学模型为理论基础,未考虑电感变化带来的不利影响。为了提升MTPA控制效果,增加考虑磁路交叉耦合效应,提出在线电感辨识方法和改进的MTPA控制方法。基于帕德逼近与变步长神经网络的电感辨识方法,不仅可以解决辨识模型欠秩问题,而且能够在线更新变化的电感参数,结合改进的基于VSSI的MTPA控制,可以有效降低电流矢量角误差,减小定子铜损耗,实现更准确的MTPA控制。通过仿真实验对所提方法的准确性进行了验证。
The existing maximum torque per ampere(MTPA)control method on account of virtual sine signal injection(VSSI)takes the ideal permanent magnet synchronous machine mathematical model as the theoretical basis and does not consider the adverse effects brought by inductance changes.To enhance the control effect of MTPA,the magnetic circuit cross-coupling effect was taken into account,and an online inductance identification method and an improved MTPA control method are proposed.The inductance identification method based on Pader approximation and variable step-size neural network can not only solve the rank deficiency problem of the identification model,but also update the changing inductance parameters online.Combined with the improved MTPA control based on VSSI,it can effectively reduce the current vector angle error,decrease the stator copper loss,and achieve more accurate MTPA control.The accuracy of the proposed method is verified through simulation experiments.
作者
李峰
宋佳星
LI Feng;SONG Jiaxing(School of Electronic and Electrical Engineering,Ningxia University,Yinchuan 750021,China;Guoneng Qingyuan Power Generation Co.,Ltd.,Qingyuan 511500,China)
出处
《微特电机》
2026年第1期76-81,共6页
Small & Special Electrical Machines
基金
国家自然科学基金项目(52167006)。
关键词
永磁同步电动机
MTPA控制
虚拟正弦信号注入
交叉耦合效应
电感辨识
permanent magnet synchronous machine
maximum torque per ampere control
virtual sine signal injection
cross-coupling effect
inductance identification
