首页> 外国专利> MACHINE LEARNING SYSTEM, CONTROL DEVICE, AND MACHINE LEARNING METHOD FOR OPTIMIZING FILTER COEFFICIENTS

MACHINE LEARNING SYSTEM, CONTROL DEVICE, AND MACHINE LEARNING METHOD FOR OPTIMIZING FILTER COEFFICIENTS

机译:用于优化过滤器系数的机器学习系统,控制装置和机器学习方法

摘要

A machine learning system that optimizes coefficients of at least one filter provided in a servo control device that controls a motor includes: an initial setting unit that sets initial values of the coefficients of the filter so as to attenuate at least one specific frequency component; a frequency characteristic calculation unit that calculates at least one of an input/output gain and an input/output phase delay of the servo control device based on an input signal and an output signal of the servo control device, of which the frequencies change; and a filter characteristic removing unit that removes filter characteristics of an initial filter in which the initial values are set to the filter from at least one of the input/output gain and the input/output phase delay obtained based on the input signal and the output signal obtained using the initial filter at the start of machine learning.
机译:一种对设置在控制电动机的伺服控制装置中的至少一个滤波器的系数进行优化的机器学习系统,包括:初始设置单元,其设置所述滤波器的系数的初始值以衰减至少一个特定频率分量;以及频率特性计算单元,其基于频率变化的伺服控制装置的输入信号和输出信号来计算伺服控制装置的输入/输出增益和输入/输出相位延迟中的至少一个;滤波器特性去除单元,其从基于输入信号和输出所获得的输入/输出增益和输入/输出相位延迟中的至少一个中去除初始值被设置为滤波器的初始滤波器的滤波器特性。在机器学习开始时使用初始滤波器获得的信号。

著录项

  • 公开/公告号US2020241485A1

    专利类型

  • 公开/公告日2020-07-30

    原文格式PDF

  • 申请/专利权人 FANUC CORPORATION;

    申请/专利号US201916707113

  • 发明设计人 KAZUOMI MAEDA;

    申请日2019-12-09

  • 分类号G05B13/02;G06N20;G05B13/04;

  • 国家 US

  • 入库时间 2022-08-21 11:22:08

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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