数控机床位置控制模式下的大数据信息

Wen-Yang Chang, Sheng-Jhih Wu
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引用次数: 0

摘要

本文基于精益信息网络在制造执行中的数据估计,对FANUC公司数控机床的制造信息技术进行了研究。响应特性包括位置环增益、位置前馈增益、速度环积分增益、速度环比例增益和速度前馈系数。研究了位置控制模式下不同位置回路增益10、30和90.1 /sec的特性响应。研究了不同位置前馈增益(10%、50%、70%和100%)的特性响应。数控机床的性能特征是基于大数据估计的整定运算。在位置控制模式下对数控机床进行瞬态和稳态响应的大数据建立。相位过频和增益裕度随PK1V增益的增加而减小。制造信息获取和处理大数据,以报告诊断或监测等信息,并优化更广泛的智能系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Information of CNC Machine Tool Performed in Position Control Mode
This paper is investigating the manufacturing information technologies of CNC machine tool, FANUC corporation, based on data estimation for lean information network in manufacturing execution. The response characteristics includes the position loop gain, position feed-forward gain, velocity loop integral gain, velocity loop proportional gain, and velocity feed-forward coefficient. The characteristic responses of the different position loop gains, 10, 30, and 90 1/sec, are investigated in position control mode. The characteristic responses of the different position feed-forward gains, 10, 50, 70, and 100 %, are investigated. The performance characteristics of CNC machine tool was based on tuning operation for big data estimation. The big data establishment of the CNC machine tool was performed in position control mode for transient and steady state responses. The phase cross over frequency and gain margin decreased as the PK1V gain increased. The manufacturing information acquires and processes the big data to report information such as diagnostics or monitors and to optimize the wider intelligent system.
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