数控运动控制器NURBS曲线的拟合

Q4 Computer Science

International Journal of Automation and Smart Technology Pub Date : 2017-09-01 DOI:10.5875/AUSMT.V7I3.1437

Chin-Sheng Chen, C. Tsai

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引用次数: 0

摘要

本文提出了一种在CAD/CAM系统中实时共面非均匀有理B样条（NURBS）曲线拟合方法，以提高拟合质量，减少计算工作量。曲线分割用于过滤线段并重塑不同NURBS曲线段的形状。同时考虑位置误差和一阶导数，以避免NURBS曲线的过度拟合。在获得拟合的NURBS曲线后，对每个插值时间的相应插值进行进一步处理，以获得每个轴的运动命令。实时NURBS曲线拟合过程包括（1）离散点导入，（2）线性段滤波，（3）曲线整形，（4）同时考虑位置误差和一阶导数的曲线拟合。仿真结果表明，该方法有效地提高了拟合质量和计算效率。

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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Curve Fitting of NURBS Curve for CNC Motion Controller

This paper proposes a real-time coplanar Non-Uniform Rational B-Spline (NURBS) curve fitting in a CAD/CAM system to improve fitting quality and reduce calculation effort. Curve segmentation is applied to filter the line segments and reshape the different NURBS curve segments. Both position errors and the first derivative are considered to avoid over fitting of the NURBS curve. After the fitted NURBS curve is obtained, the corresponding interpolation for each interpolated time is further processed to obtain the motion command for each axis. The real-time NURBS curve fitting process consists of (1) discrete points import, (2) linear segment filter, (3) curve reshaping, (4) curve fitting considering both the position errors and the first derivative. Simulation results show the proposed approach effectively improves the fitting quality and calculation efficiency.

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来源期刊

International Journal of Automation and Smart Technology Engineering-Electrical and Electronic Engineering

CiteScore

0.70

自引率

0.00%

发文量

审稿时长

16 weeks

期刊介绍： International Journal of Automation and Smart Technology (AUSMT) is a peer-reviewed, open-access journal devoted to publishing research papers in the fields of automation and smart technology. Currently, the journal is abstracted in Scopus, INSPEC and DOAJ (Directory of Open Access Journals). The research areas of the journal include but are not limited to the fields of mechatronics, automation, ambient Intelligence, sensor networks, human-computer interfaces, and robotics. These technologies should be developed with the major purpose to increase the quality of life as well as to work towards environmental, economic and social sustainability for future generations. AUSMT endeavors to provide a worldwide forum for the dynamic exchange of ideas and findings from research of different disciplines from around the world. Also, AUSMT actively seeks to encourage interaction and cooperation between academia and industry along the fields of automation and smart technology. For the aforementioned purposes, AUSMT maps out 5 areas of interests. Each of them represents a pillar for better future life: - Intelligent Automation Technology. - Ambient Intelligence, Context Awareness, and Sensor Networks. - Human-Computer Interface. - Optomechatronic Modules and Systems. - Robotics, Intelligent Devices and Systems.