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一个空间平行机制的增强动态模型,在两个点接触的高动力对上接收从基点直接约束的空间平行机制
Chen Cheng1, Xiaojing Yuan1, Yenan Li1
1Lab of Mechatronics, Rocket Force University of Engineering, Xi'an 710025, China.
Biomimetics (Basel, Switzerland)
|July 25, 2025
概括
一个新的并行机制模仿人类的,以实现3D运动. 使用欧勒参数的高效反向动态模型提高了准确性,并考虑了摩擦,增强了控制能力.
科学领域:
- 机器人和生物力学
- 机械工程 机械工程
背景情况:
- 人类的系统为复杂的3D运动提供了灵感.
- 具有更高动力对 (HKPs) 的并行机制 (PM) 提供了先进的功能,但面临着挑战.
- 在HKP和执行器中的摩擦会降低运动精度,并导致磨损.
研究的目的:
- 提出一个生物学上一致的并行机制 (PM) 以模拟人类的3D.
- 为拟议的PM开发一个高效和准确的反向动态模型.
- 为了实现实时运动和/或力控制机制.
主要方法:
- 设计了一种平行机制 (PM),在两个更高的动力对 (HKPs) 上从底部 (DCFB) 到终端效应器直接制约.
- 使用欧勒参数来进行端效应器运动表示,制定了一个反向动态模型.
- 牛顿-欧勒定律被应用于结合HKPs和执行器的摩擦效应.
主要成果:
- 基于欧勒参数的模型显示,与欧勒角相比,计算时间减少了77%.
- 摩擦效应被证明可以显著增加模型的非线性.
- 从底部直接制约 (DCFB) 增加了建模复杂性和计算成本.
结论:
- 拟议的反向动态模型提高了PM的计算效率和可靠性.
- 该模型有效地结合了摩擦,这对于精确控制机制至关重要.
- 该研究强调了机制复杂性 (通过DCFB) 和计算需求之间的权衡.
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