在狭窄的空间中对三尾螺旋式微机器人的随机动态分析
Xinpeng Shi1, Yongge Li1,2, Kheder Suleiman1
1School of Mathematics and Statistics, Northwestern Polytectnical University, Xi'an 710072, China.
Micromachines
|April 26, 2025
概括
这项研究在狭窄的空间中模拟了三尾螺旋式微机器人. 噪声将速度降低49%,但增加电流和降低粘度显著提高了微机器人的速度和穿越时间.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 流体动力学 流体动力学
- 非线性动力学是一种非线性动力学.
背景情况:
- 微机器人对于在狭窄的空间中进行有针对性的交付和操纵至关重要.
- 了解它们在各种条件下的动态行为对于实际应用至关重要.
- 随机效应在复杂环境中显著影响微机器人的性能.
研究的目的:
- 为了研究在封闭的环境中三尾螺旋式微机器人的动态行为.
- 分析输入参数 (角速度,电流,粘度,通道宽度) 对微机器人运动的影响.
- 量化随机噪声对微机器人的速度,位移和摇摆的影响.
主要方法:
- 开发用于微机器人运动分析的随机动态模型.
- 模拟微机器人轨迹,速度,平均平方位移 (MSD) 和摇摆速度.
- 在确定性与随机性条件下对微机器人的性能进行比较分析.
主要成果:
- 与确定性条件相比,高斯的白噪声将微机器人的速度降低49%.
- 增加电流可以将到达分叉点的穿越时间减少65%.
- 降低液体粘度可以将穿越时间减少39%.
结论:
- 优化控制参数对于减轻对微机器人性能噪声影响至关重要.
- 结果为在具有挑战性的现实场景中部署微机器人提供了理论指导.
- 对狭小空间中的微机器人动态有了更深入的了解,这有助于改进实际应用.
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