UR16e 6度自由机器人操纵器的扩展动态模型
John Kern1, Luis Donoso1, Claudio Urrea1
1Electrical Engineering Department, Faculty of Engineering, University of Santiago of Chile, Las Sophoras 165, Estación Central, Santiago 9170020, Chile.
Sensors (Basel, Switzerland)
|December 31, 2025
概括
本研究介绍了UR16e工业机器人的扩展分析动态模型 (EADM),包括执行器和摩擦动态. 经过验证的模型准确地预测机器人的行为,这对于高级控制应用至关重要.
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
- 控制系统 控制系统
背景情况:
- 制造商经常为工业机器人提供有限的动态信息.
- 准确的动态模型对于先进的控制和模拟至关重要.
- 现有的模型可能无法完全捕捉诸如执行器动力学和摩擦等复杂行为.
研究的目的:
- 开发和验证UR16e6度自由度 (DoF) 工业机器人的扩展分析动态模型 (EADM).
- 将执行器动力学和摩擦模型纳入机器人的动态表示.
- 为开发的动态模型建立一个严格的验证方法.
主要方法:
- 使用MATLAB/Simscape Multibody中的多体物理模型 (MPM) 作为参考,采用了两阶段的验证过程.
- 阶段1:将分析动态模型 (ADM) 的逆动态扭矩与MPM进行比较.
- 第二阶段:根据比例衍生计算扭矩控制 (PD-CTC) 方案与笛卡尔轨迹测试了EADM和MPM,比较了联合扭矩和位置.
主要成果:
- 在第一个验证阶段,ADM显示了最小的扭矩误差 (10^-17到10^-13Nm).
- 在第二阶段,EADM证明了边界位置 (≤4×10^-4 rad) 和扭矩误差 (≤0.4 Nm对于1-3,≤0.05 Nm对于4-6关节).
- 验证方法证实了EADM准确地表示了MPM的动态行为.
结论:
- 开发的扩展分析动态模型 (EADM) 提供了UR16e工业机器人的精确动态表示.
- 拟议的两阶段验证方法,包括扭矩水平检查,对于评估机器人动态模型是有效的.
- EADM适用于需要精确的动态模拟和UR16e机器人的控制的应用.
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