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Machine learning systems, controllers and machine learning methods that optimize filter coefficients

机译:机器学习系统,控制器和机器学习方法优化滤波器系数

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:一种机器学习系统,其优化在控制电动机的伺服控制装置中提供的至少一个滤波器的系数包括:初始设置单元,其设定滤波器系数的初始值,以便衰减至少一个特定频率分量; 一种频率特性计算单元,基于伺服控制装置的输入信号和输出信号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,其中频率变化; 并且滤波器特性去除单元,其消除初始滤波器的滤波器特性,其中初始值被设置为从输入/输出增益的至少一个和基于输入信号和输出获得的输入/输出相位延迟的滤波器 使用初始滤波器在机器学习开始时获得的信号。

著录项

  • 公开/公告号JP6956122B2

    专利类型

  • 公开/公告日2021-10-27

    原文格式PDF

  • 申请/专利权人 ファナック株式会社;

    申请/专利号JP20190010111

  • 发明设计人 前田 和臣;

    申请日2019-01-24

  • 分类号G05B13/02;G05B19/4155;

  • 国家 JP

  • 入库时间 2022-08-24 21:54:09

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