一个5DOF混合机器人机器人的动态配方和惯性快速估计
Qi Liu1,2, Tingzheng Yan1,2, Bin Li1,2
1Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin, 300384, China.
Scientific reports
|July 26, 2024
概括
这项研究分析了像TriMule这样的混合机器人的负载惯性变化. 与圆形方法相比,圆的会员方法在装配关节负载惯性方面提供了更高的准确性.
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
- 控制系统 控制系统
背景情况:
- 平行机制是混合机器人的关键,呈现非线性,时间变化的动态.
- 在这些系统中,执行式联合负载惯性随机器人配置而变化.
- 准确的惯性分析对于混合机器人设计和控制至关重要.
研究的目的:
- 分析和适应混合机器人 (TriMule) 中执行关节的变化负载惯性.
- 提出和比较两种惯性安装方法:圆形和圆形的成员函数.
- 评估拟议方法的整体适配准确性.
主要方法:
- 对TriMule混合机器人的动态分析,以揭示其工作空间的负载惯性变化.
- 基于有限的配置数据,开发使用循环和圆成员函数的惯性安装模型.
- 循环和圆成员方法之间的合适错误的比较分析.
主要成果:
- 与圆形方法相比,圆的成员方法在关节负载惯性方面表现出更高的整体适配精度.
- 圆方法的最大装配误差明显较低,特别是在2号和3号驱动关节.
- 拟议的安装方法可以快速估计关节负载惯性.
结论:
- 圆的会员功能提供了一个更准确的方法,用于在混合机器人中安装可变的联合负载惯性.
- 这种技术有助于有效估计依赖惯性控制变量的控制变量.
- 该方法的易于集成支持其在实时机器人控制系统中的应用.
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