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A shape adaptive motion control system with application to robotic polishing

机译:形状自适应运动控制系统及其在机器人抛光中的应用

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摘要

This paper presents a new shape adaptive motion control system that integrates part measurement with motion control. The proposed system consists of four blocks: surface measurement; surface reconstruction; tool trajectory planning; and axis motion control. The key technology used in surface measurement and surface reconstruction is the spatial spectral analysis. In the surface measurement block, a new spectral spectrum comparison method is proposed to determine an optimal digitizing frequency. In the surface reconstruction block, different interpolation methods are compared in the spatial spectral domain. A spatial spectral B-spline method is presented. In the tool trajectory planning block, a method is developed to select a motion profile first and then determine tool locations according to the reconstructed surface in order to improve the accuracy of the planned toolpath. Based on the proposed methods, a software package is developed and implemented on the polishing robot constructed at Ryerson University. The effectiveness of the proposed system has been demonstrated by the experiment on edge polishing. In this experiment, the shape of the part edges is measured first, and then constructed as a wire-frame CAD model, based on which the tool trajectory is planned to control the tool to polish the edges.
机译:本文提出了一种新的形状自适应运动控制系统,该系统将零件测量与运动控制相集成。拟议的系统包括四个模块:表面测量;表面重建;工具轨迹规划;和轴运动控制。在表面测量和表面重建中使用的关键技术是空间光谱分析。在表面测量区中,提出了一种新的光谱比较方法,以确定最佳的数字化频率。在表面重建块中,在空间光谱域中比较了不同的插值方法。提出了一种空间谱B样条方法。在刀具轨迹计划模块中,开发了一种方法,该方法首先选择运动轮廓,然后根据重建的曲面确定刀具位置,以提高计划的刀具路径的精度。基于提出的方法,开发了软件包,并在瑞尔森大学构造的抛光机器人上实现了该软件包。边缘抛光实验证明了该系统的有效性。在该实验中,首先测量零件边缘的形状,然后将其构建为线框CAD模型,并以此为基础规划工具轨迹以控制工具对边缘进行抛光。

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