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Field predicting device for rotary electric machine, learning method of prediction model and rotary electric machine control system

机译:旋转电机现场预测装置,预测模型学习方法和旋转电机控制系统

摘要

Problem to be solved: to provide a field predicting apparatus for predicting the amount of field formed inside a rotary electric machine by a prediction model.The field predicting apparatus of the rotary electric machine predicts the amount of the field in the rotating electric machine provided with a stator for generating a rotating magnetic field when the three-phase alternating current flows and a rotor rotated by the rotating magnetic field.The field prediction apparatus has an d axis current of a rotating electric machine When a q-axis current and a mechanical angle or input data generated based on these parameters are input, a prediction model 62 is provided which outputs output data including a prediction amount of the vector potential in the rotating electric machine based on the neural network.The prediction model 62 comprises a prediction decoder 622 constructed based on the first learning decoder 652 of the auto encoder 65 and a predictive encoder 621 constructed on the basis of the second learning encoder 661.Diagram
机译:要解决的问题:提供一种通过预测模型预测形成在旋转电机内部形成的场的场的现场预测装置。旋转电机的磁场预测装置预测旋转电机中的磁场的量当三相交流流动和由旋转磁场旋转的转子时产生旋转磁场的定子。当Q轴电流和机械角度时,场预测装置具有旋转电机的D轴电流输入基于这些参数生成的输入数据,提供预测模型62,其基于神经网络输出包括旋转电机中的旋转电机中的矢量电位的预测量的输出数据。预测模型62包括构造的预测解码器622基于自动编码器65的第一学习解码器652和在BAS上构建的预测编码器621第二学习编码器661.diagram

著录项

  • 公开/公告号JP2021135774A

    专利类型

  • 公开/公告日2021-09-13

    原文格式PDF

  • 申请/专利权人 株式会社明電舎;

    申请/专利号JP20200031841

  • 发明设计人 町田 啓;坂本 宏紀;

    申请日2020-02-27

  • 分类号G06F30/20;G06F30/27;G06F30/10;H02P21/14;G06N3/04;G06N20;

  • 国家 JP

  • 入库时间 2022-08-24 21:00:02

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