一个数字设计框架,用于平行机器人的维度优化,基于动力学和elasto-dynamic性能
Yue Ma1,2, Weihua Sun1,2, Hongye Wu1,2
1Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin, 300384, China.
Scientific reports
|November 26, 2024
概括
这项研究引入了一种用于优化并行机器人设计的新框架. 它提高了动态性能,同时保持了动力学能力,大大减少了计算时间.
科学领域:
- 机器人与机械工程 机器人与机械工程
- 计算力学 计算力学 计算力学
- 优化技术 优化技术
背景情况:
- 维度优化对于并行机器人的性能至关重要.
- 挑战包括相互矛盾的性能指数和高计算成本.
- 姿势依赖的性能变化使最佳设计变得复杂.
研究的目的:
- 为最佳并行机器人设计提供一个框架.
- 集成骨架建模,CAD-CAE和多目标优化.
- 为了解决动力学和动态性能指数之间的冲突.
主要方法:
- 使用CAD/CAE开发了动力学和elasto-dynamic性能评估模型.
- 雇佣的硬C-Means (HCM) 聚类以确定代表性的姿势.
- 使用多目标优化来找到维度参数的帕雷托最佳解决方案.
主要成果:
- 拟议的框架显著提高了elasto-dynamic性能.
- 在没有过度妥协的情况下保持动力性能.
- 与传统方法相比,计算时间显著减少.
结论:
- 综合框架有效地处理冲突的绩效目标.
- 它为平行机器人设计提供了一个计算高效的方法.
- 一个开发的软件包可方便平行/混合机器人的设计.
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