In-process identification of feed drive dynamics considering machining forces

IF 3.5 2区 工程技术 Q2 ENGINEERING, MANUFACTURING
J.D. McPherson, M. Mehrabi, K. Ahmadi
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引用次数: 0

Abstract

This paper presents a new closed-loop dynamics model for ballscrew feed drives in CNC machine tools, enabling non-intrusive, in-process model calibration and motion prediction even in the presence of unmeasured machining forces. The presented model employs a Partially Linear Auto-Regressive with Exogenous input (PL-ARX) structure, where the linear component captures the servo drive and rigid-body dynamics, and the nonlinear component represents unknown machining forces. Kernel-based regression is then used to simultaneously identify the linear dynamics and machining force disturbances from internal controller signals during milling.
The model is validated on two different CNC machines under experimental milling conditions. Results confirm the approach accurately identifies unbiased linear dynamics despite unmeasured disturbances and achieves precise online motion prediction. These capabilities are critical for enabling real-time feedrate optimization and model-predictive control in advanced machining systems.
考虑加工力的进给传动动力学过程辨识
本文提出了一种新的数控机床滚珠丝杠进给驱动闭环动力学模型,即使在存在未测量的加工力的情况下,也能实现非侵入式的过程模型校准和运动预测。该模型采用外生输入部分线性自回归(PL-ARX)结构,其中线性分量捕获伺服驱动和刚体动力学,非线性分量表示未知的加工力。然后利用基于核的回归同时识别铣削过程中来自内部控制器信号的线性动力学和加工力干扰。在两台不同的数控机床上进行了实验铣削条件下的验证。结果表明,该方法能准确识别无偏线性动力学,并能实现精确的在线运动预测。这些功能对于在先进的加工系统中实现实时进给速度优化和模型预测控制至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.40
自引率
5.60%
发文量
177
审稿时长
46 days
期刊介绍: Precision Engineering - Journal of the International Societies for Precision Engineering and Nanotechnology is devoted to the multidisciplinary study and practice of high accuracy engineering, metrology, and manufacturing. The journal takes an integrated approach to all subjects related to research, design, manufacture, performance validation, and application of high precision machines, instruments, and components, including fundamental and applied research and development in manufacturing processes, fabrication technology, and advanced measurement science. The scope includes precision-engineered systems and supporting metrology over the full range of length scales, from atom-based nanotechnology and advanced lithographic technology to large-scale systems, including optical and radio telescopes and macrometrology.
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