Framework Design of a Digital Twin of an XY Compliant Parallel Manipulator Based on Non-Negative Matrix Factorization

Xueguan Song, Kunpeng Li, Shuo Wang, Ziyun Kan, Haiyang Li, Jiaxiang Zhu, Guangbo Hao
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Abstract

A promising multi-layer mirror-symmetry XY compliant parallel manipulator (CPM) has been recently reported to address the tradeoff between a small compact footprint and a minimized parasitic rotation. In order to scientifically ensure the healthy operation of equipment and make maintenance decisions reasonably, there is a need to depict its physical mechanical characteristics in a virtual space instantaneously. The digital twin, an emerging technology, can be used to address this need by achieving a seamless convergence of physical and virtual spaces for this XY CPM. However, the high accuracy and instantaneousness requirements have hindered the application and popularization of the digital twin. This article presents a framework to build an accurate and lightweight digital twin, and in the meanwhile significantly reduces the computational budget (i.e. high computation efficiency). The framework is validated by an XY CPM test apparatus. The results demonstrate that the proposed framework is an effective tool to build an accurate and lightweight digital twin for the XY CPM, which is also promising for other compliant mechanisms or parallel manipulators.
基于非负矩阵分解的XY柔性并联机器人数字孪生体框架设计
最近报道了一种很有前途的多层镜像对称XY柔性并联机械臂(CPM),它解决了小紧凑占用空间和最小化寄生旋转之间的权衡。为了科学地保证设备的健康运行,合理地进行维修决策,需要在虚拟空间中实时地描绘设备的物理力学特性。数字孪生是一种新兴技术,可以通过实现XY CPM的物理空间和虚拟空间的无缝融合来满足这一需求。然而,对数字孪生的高精度和实时性要求过高,阻碍了数字孪生的应用和普及。本文提出了一个构建精确、轻量级数字孪生的框架,同时显著减少了计算预算(即高计算效率)。该框架通过XY CPM测试装置进行了验证。结果表明,所提出的框架是为XY CPM构建精确、轻量级数字孪生的有效工具,对其他柔性机构或并联机械臂也有应用前景。
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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