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Machine learning apparatus and method for learning arrangement position of magnet in rotor and rotor design apparatus including machine learning apparatus

机译:机器学习设备和用于学习磁体在转子中的布置位置的方法以及包括该机器学习设备的转子设计设备

摘要

A machine learning apparatus, which learns a condition associated with arrangement positions of magnets on a core of a motor rotor, includes: a state observation unit that observes a state variable composed of data relating to arrangement positions of a plurality of the magnets arranged on the core, data relating to a magnitude of cogging torque generated when the plurality of the magnets are arranged at the respective arrangement positions, and data relating to a magnetic flux density of each of the magnets; and a learning unit that learns the condition associated with the arrangement positions of the magnets on the core in accordance with a training data set constituted by the state variable.
机译:一种机器学习设备,其学习与电动机转子的铁芯上的磁体的布置位置相关的条件,包括:状态观察单元,其观察由与布置在转子上的多个磁体的布置位置有关的数据组成的状态变量。核心是与在将多个磁铁分别配置在各自的配置位置时产生的齿槽转矩的大小有关的数据,以及与各磁铁的磁通密度有关的数据。学习单元,根据由状态变量构成的训练数据组,学习与铁芯上的磁铁的配置位置有关的条件。

著录项

  • 公开/公告号US10103611B2

    专利类型

  • 公开/公告日2018-10-16

    原文格式PDF

  • 申请/专利权人 FANUC CORPORATION;

    申请/专利号US201615277988

  • 发明设计人 YOSHINORI MURAKAMI;

    申请日2016-09-27

  • 分类号H02K15/03;H02K1/27;

  • 国家 US

  • 入库时间 2022-08-21 13:06:16

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