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MACHINE LEARNING DEVICE, SERVO MOTOR CONTROL DEVICE, SERVO MOTOR CONTROL SYSTEM, AND MACHINE LEARNING METHOD

机译:机器学习装置,伺服电动机控制装置,伺服电动机控制系统及机器学习方法

摘要

A machine learning device is configured to perform machine learning with respect to a servo motor control device including a non-linear friction compensator that creates a compensation value with respect to non-linear friction on the basis of a position command, the machine learning device including: a state information acquisition unit configured to acquire state information including a servo state including position error, and combination of compensation coefficients of the non-linear friction compensation unit, by causing the servo motor control device to execute a predetermined program; an action information output unit configured to output action information including adjustment information of the combination of compensation coefficients; a reward output unit configured to output a reward value in reinforcement learning, based on the position error; and a value function updating unit configured to update an action value function on the basis of the reward value, the state information, and the action information.
机译:机器学习装置被配置为相对于包括非线性摩擦补偿器的伺服电动机控制装置执行机器学习,该非线性摩擦补偿器基于位置指令产生关于非线性摩擦的补偿值,该机器学习装置包括:状态信息获取单元,其被配置为通过使伺服电动机控制装置执行预定程序来获取包括包括位置误差在内的伺服状态以及非线性摩擦补偿单元的补偿系数的组合的状态信息;动作信息输出单元,被配置为输出包括补偿系数的组合的调整信息的动作信息;奖励输出单元,被配置为基于所述位置误差来输出强化学习中的奖励值;值函数更新单元,其被配置为基于奖励值,状态信息和行为信息来更新行为值函数。

著录项

  • 公开/公告号US2019028043A1

    专利类型

  • 公开/公告日2019-01-24

    原文格式PDF

  • 申请/专利权人 FANUC CORPORATION;

    申请/专利号US201816021447

  • 发明设计人 YUSAKU OHO;NAOTO SONODA;

    申请日2018-06-28

  • 分类号H02P6/08;H02P6/17;G06F15/18;

  • 国家 US

  • 入库时间 2022-08-21 12:05:39

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