替代建模用于对机器人操纵器轨迹的时间依赖可靠性分析
Keenjhar Ayoob1, Hassan Elahi1, Tayyab Zafar1
1National University of Sciences and Technology (NUST), sector H-12, Islamabad, Pakistan.
PloS one
|September 30, 2025
概括
这项研究引入了一种新的Kriging替代模型,用于机器人操纵器动力学可靠性分析. 与传统方法相比,它显著降低了计算成本,提高了基于轨迹的可靠性的效率和准确性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 机械工程 机械工程
- 可靠性工程可靠性工程
背景情况:
- 机器人操纵器的动力学可靠性分析对于关节变化和外部干扰等不确定性至关重要.
- 传统的分析方法与非线性函数和基于轨迹的可靠性作斗争.
- 现有的方法往往缺乏复杂的机器人系统的计算效率.
研究的目的:
- 开发一种基于替代模型的新方法,使用Kriging来估计机器人操纵器的运动可靠性.
- 在可靠性分析中考虑终端效应器轨迹和输入不确定性.
- 与传统方法相比,提高计算效率和准确性.
主要方法:
- 构建一个初始的Kriging替代模型,以捕捉输入不确定性对轨迹准确性的影响.
- 改进使用统计抽样技术进行有效的绩效评估的代孕模型.
- 在6DOF工业机器人 (包括UR5.5) 上验证拟议的方法.
主要成果:
- 基于Kriging的方法显著降低了计算复杂性和函数评估的数量 (与MCS相比减少了98%以上).
- 实现与蒙特卡洛模拟 (MCS) 相似的可靠性预测,功能调用量少得多.
- 证明了工业机器人的动力学可靠性分析的计算效率和精度的提高.
结论:
- 拟议的Kriging替代模型为机器人操纵器的动力学可靠性分析提供了一种计算效率高,准确的方法.
- 这种方法有效地处理基于轨迹的可靠性和输入不确定性.
- 该方法对提高制造业和医疗保健应用中的运营效率和安全具有实际意义.
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