5R平面并联机器人在尺寸和驱动不确定条件下的定位精度界

Adriyan Adriyan, Asmara Yanto
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引用次数: 0

摘要

本文旨在确定5R平面并联机器人在尺寸和作动不确定情况下的定位精度界。利用区间分析和多维对分法(MDBM)对精度界进行了数值研究。这些数值方法可以在机械臂工作空间内给出多个解。然后,利用精确解与数值解进行比较。结果表明,区间牛顿法的区间分析给出了定位精度的保证边界。同时,MDBM和精确解与蒙特卡罗模拟耦合在区间牛顿法得到的解内产生平行四边形的分散随机值。总的来说,这三种方法在精度方面几乎是一致的,但是在计算时间上它们是不同的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accuracy Bound for Positioning the 5R Planar Parallel Manipulator Subjected to Uncertainties in Dimensions and Actuations
This article is aimed to determine the accuracy bound for positioning the 5R planar parallel manipulator under the uncertainties in its dimensions and actuation. The accuracy bound is investigated numerically using the interval analysis and multi-dimensional bisection method (MDBM). These numerical methods can give multiple solutions within the workspace of the manipulator. Then, the exact solution is utilized for comparison with the numerical solutions. It is shown that the interval analysis via the interval Newton method gives the guaranteed bounds for positioning accuracy. Meanwhile, the MDBM and the exact solution coupling with the Monte Carlo simulation produce a scattered random value in a parallelogram shape inside the solution yielded by the interval Newton method. Overall, those three methods give nearly a good agreement in terms of that accuracy, but they are different at computation time.
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