基于拟区间蒙特卡罗方法的串联机器人路径精度可靠性分析

Guofa Li, Zequan Chen, Chuanhai Chen, Jialong He, Tongtong Jin, Zhaojun Yang, Xuezhen Chen
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引用次数: 0

摘要

为了研究连杆尺寸误差和关节角偏差对串联机器人末端路径精度的影响,采用Denavit-Hartenberg(D-H)法建立了机器人末端路径精度的可靠性模型。考虑到某些变量的精确概率分布难以获得且存在认知不确定性,提出了一种结合概率盒模型和传统概率模型的混合非概率模型来分析串联机器人的末端路径精度。将拟蒙特卡罗方法和嵌套区间分析相结合,提出了拟区间蒙特卡罗方法来分析混合可靠性模型。实例应用表明,该方法比传统的蒙特卡罗方法收敛速度快,所需计算资源少,所建立的模型更接近工程实际。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability Analysis of Path Accuracy of Series Robot Based on QuasiInterval Monte Carlo Method
In order to study the influence of the dimension error of the connecting rod and the angular deviation of the joint on the end-path accuracy of the series robot, the Denavit-Hartenberg(D-H) method is used to establish the reliability model of the end-path accuracy of the robot. Considering that the exact probability distribution of some variables is difficult to obtain and there is cognitive uncertainty, a hybrid non-probability model combining probability-box model and traditional probability model is proposed to analyze the end-path accuracy of series robot. Combined with the quasi-Monte Carlo method and nested interval analysis, the quasi interval Monte Carlo method is proposed to analyze the hybrid reliability model. The case application shows that the proposed method converges faster than the traditional Monte Carlo method, requires less computing resources, and the established model is closer to engineering practice.
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