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arXiv 2504.07802cs.RO

系留供电多旋翼无人机的线缆优化与阻力估计

Cable Optimization and Drag Estimation for Tether-Powered Multirotor UAVs

Computer Science Dept. University of Tübingen(图宾根大学计算机科学系)

Max Beffert, Andreas Zell

AI总结:

本文提出一种结合物理建模与系统辨识的新方法,综合考虑推力需求、功率效率、电机效率、系绳电阻和气动阻力等因素,优化系留供电多旋翼无人机的线缆选择,确保高效电力传输与飞行性能。

摘要:

多旋翼无人机(UAVs)的飞行时间通常受限于其高功耗。系留供电系统提供了一种可行的解决方案,既能延长飞行时间,又能保持多旋翼无人机的优势,如悬停能力和敏捷性。本文探讨了系留供电多旋翼无人机线缆选择的关键问题,同时考虑了悬停和前飞状态。现有研究往往忽略了线缆质量、功率损耗与系统约束之间的权衡。我们提出了一种新颖的方法来优化线缆选择,考虑了各种飞行条件下的推力需求和功率效率。该方法将物理信息建模与系统辨识相结合,融合了悬停和前飞动力学,并纳入了电机效率、系绳电阻和空气动力学阻力等因素。这项工作提供了一个直观且实用的框架来优化系留无人机设计,确保高效的电力传输和飞行性能,从而实现更好、更安全、更高效的系留无人机。

英文摘要:

The flight time of multirotor unmanned aerial vehicles (UAVs) is typically constrained by their high power consumption. Tethered power systems present a viable solution to extend flight times while maintaining the advantages of multirotor UAVs, such as hover capability and agility. This paper addresses the critical aspect of cable selection for tether-powered multirotor UAVs, considering both hover and forward flight. Existing research often overlooks the trade-offs between cable mass, power losses, and system constraints. We propose a novel methodology to optimize cable selection, accounting for thrust requirements and power efficiency across various flight conditions. The approach combines physics-informed modeling with system identification to combine hover and forward flight dynamics, incorporating factors such as motor efficiency, tether resistance, and aerodynamic drag. This work provides an intuitive and practical framework for optimizing tethered UAV designs, ensuring efficient power transmission and flight performance. Thus allowing for better, safer, and more efficient tethered drones.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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