首页> 外国专利> MACHINE LEARNING APPARATUS AND METHOD FOR OPTIMIZING SMOOTHNESS OF FEED OF FEED AXIS OF MACHINE AND MOTOR CONTROL APPARATUS INCLUDING MACHINE LEARNING APPARATUS

MACHINE LEARNING APPARATUS AND METHOD FOR OPTIMIZING SMOOTHNESS OF FEED OF FEED AXIS OF MACHINE AND MOTOR CONTROL APPARATUS INCLUDING MACHINE LEARNING APPARATUS

机译:机器学习设备和用于优化机器和电机控制设备的进给轴的进给顺畅度的方法,包括机器学习设备

摘要

A machine learning apparatus includes: a state observation unit that observes a state variable composed of at least one of data relating to the number of errors that is an error between a position command relative to a rotor of a motor which is drive-controlled by the motor control apparatus and an actual position of a feed mechanism unit, an operation program of the motor control apparatus, any command of the position command, a speed command, or a current command in the motor control apparatus, data relating to a workpiece machining condition in a machine tool including the motor control apparatus, and data relating to a state of the machine tool including the motor control apparatus; and a learning unit that learns a condition associated with the number of corrections used to correct the above-mentioned command in accordance with a training data set constituted by the state variable.
机译:一种机器学习设备,包括:状态观察单元,其观察由与误差数量有关的数据中的至少一个构成的状态变量,该误差数量是相对于由电动机驱动控制的相对于电动机的转子的位置指令之间的误差。电动机控制装置和进给机构单元的实际位置,电动机控制装置的操作程序,电动机控制装置中的位置命令,速度命令或电流命令中的任何命令,与工件加工条件有关的数据在包括电动机控制装置的机床中,以及与包括电动机控制装置的机床的状态有关的数据;学习单元,其根据由状态变量构成的训练数据集学习与用于校正上述命令的校正次数有关的条件。

著录项

  • 公开/公告号US2017154283A1

    专利类型

  • 公开/公告日2017-06-01

    原文格式PDF

  • 申请/专利权人 FANUC CORPORATION;

    申请/专利号US201615299471

  • 申请日2016-10-21

  • 分类号G06N99;G06F11;

  • 国家 US

  • 入库时间 2022-08-21 13:48:43

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