科塞拉特基于棒的肌摩擦建模,模拟和实验,用于肌驱动的连续机器人
Honghong Wang1, Jingli Du1, Yi Mao2
1School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071, China.
Micromachines
|March 27, 2025
概括
这项研究引入了一种新的肌驱动连续机器人 (TDCR) 模型,该模型考虑摩擦和离散肌力. 改进的模型显著提高了预测机器人配置的准确性,这对于先进的机器人应用至关重要.
科学领域:
- 机器人与机械工程 机器人与机械工程
- 连续力学 连续力学
- 计算建模 计算建模
背景情况:
- 传统的肌驱动连续机器人 (TDCR) 模型通常将肌张力简化为连续,忽视离散肌安排,细分配置和摩擦.
- 这些简化导致TDCR行为建模的不准确性,特别是关于曲过程中力量和摩擦的复杂相互作用.
研究的目的:
- 为TDCRs开发一个更准确,更全面的建模方法.
- 通过结合离散的肌力和摩擦来解决现有模型的局限性.
- 为了提高TDCR模拟的预测能力.
主要方法:
- 整合Cosserat棒理论与有限元法 (FEM) 进行机器人脊椎和肌分离.
- 包括肌和引导孔之间的摩擦建模.
- 开发一种算法来确定摩擦力方向,以提高精度.
主要成果:
- 与经典的TDCR模型相比,拟议的包括摩擦的模型显示了显著提高的准确性.
- 数字模拟显示,在各种肌路由场景中,平均配置偏差仅为0.3%.
- 实验验证证了模型在预测TDCR行为的准确性和稳定性.
结论:
- 开发的建模方法通过考虑摩擦和离散肌力量,提供了更现实的TDCR动态表示.
- 这种增强模型对于在复杂应用中精确控制和设计TDCR至关重要.
- 这些发现强调了将摩擦纳入连续机器人建模中的重要性,以提高性能和可靠性.
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