首页> 外文会议>IEEE Transportation Electrification Conference >A reduced-order model based induction machine self-commissioning method
【24h】

A reduced-order model based induction machine self-commissioning method

机译:基于秩序的基于阶模型的进一步机自调试方法

获取原文

摘要

A new method which uses the voltage source PWM inverter (VSI) to identify the induction machine (IM) parameters is proposed based on the reduced-order models of induction machine. All the variables for parameter extraction are obtained by the inverter and converted to the dq frame using the FOC software modules. The variables are DC values and low-pass filter may be used to reduce the harmonic and noise effects. The least-square and curve fitting methods are employed to remove the nonlinear effects. The proposed method provides high accuracy for induction machine parameter characterization and can be used to measure the saturated magnetizing inductance as a function of frequency and magnetizing current. It can be integrated with the FOC software as the self-commissioning function without much cost of additional software.
机译:基于感应机的阶数模型提出了一种使用电压源PWM逆变器(VSI)来识别感应机(IM)参数的新方法。参数提取的所有变量都由逆变器获得并使用FOC软件模块转换为DQ帧。变量是DC值,低通滤波器可用于降低谐波和噪声效果。采用最小二乘和曲线配合方法去除非线性效应。所提出的方法为感应机参数表征提供高精度,并且可用于测量饱和磁化电感作为频率和磁化电流的函数。它可以与FOC软件集成为自我调试功能,而无需额外的软件。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号