Automatic System Identification of Forward Feed Drives in Machine Tools
Automatic System Identification of Forward Feed Drives in Machine Tools
复制标题
机床中正向进给驱动的自动系统识别
DOI：
10.1007/978-3-030-03451-1_15
复制
发表时间：
2019
期刊：
影响因子：
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通讯作者：
Brecher
中科院分区：
文献类型：
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作者：
S.; Berners;T.Epple;Brecher
对机床进给驱动动态行为的更高要求需要更好的系统识别方法来识别受控系统以优化更好的控制器。大多数现代 CNC 系统仍然具有用于速度和电流环路的简单 PI 控制器以及用于位置环路的带有更多滤波器的 P 控制器。目前的研究表明，位置控制环路的带宽可以通过 LQG 或 H∞ 控制等最优控制方法来增加。为了实现更高的带宽或创建不确定性模型，还需要识别受控系统传递函数中的位置相关效应。而且，受控系统的识别过程常常需要人工帮助。该出版物提出了一种如何更准确地测量进给驱动器的传递行为并自动识别传递函数的极点和零点的方法。
Higher demands on the dynamic behavior of feed drives of machine tools require better system identification methods to identify the controlled system to optimize better controllers. Most modern CNC systems have still simple PI-controllers for speed and current loop and a P-controller with further filters for the position loop. Current research has shown that the bandwidth of the position control loop can be increased by optimal control methods like LQG- orH∞-control. To achieve higher bandwidths or to create uncertainty models it is required also to identify the position dependent effects in the transfer function of the controlled system. Moreover, the identification process of the controlled system requires often manual help. This publication presents a method on how to measure more exactly the transfer behavior of a feed drive and identify automatically the poles and zeros of the transfer function.
DOI：
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发表时间：
2009
期刊：
影响因子：
--
作者：
L. Ljung
通讯作者：
L. Ljung