研究无人机载货飞行的气动与感知，提升配送稳定性。
Aerodynamics and Sensing Analysis for Efficient Drone-Based Parcel Delivery
- 结合仿真与实验，分析负载对无人机气动稳定性的影响。
- 负载占螺旋桨面积50%时仍可稳定飞行，姿态误差低至0.1%。
- 适合无人机配送系统设计者与智能控制研究人员参考。
在城市化加速和电子商务快速发展的背景下，高效快递配送至关重要。本文深入研究了用于包裹配送的无人机气动特性与感知系统。通过计算流体动力学（CFD）进行全面气流分析，揭示了载荷能力对无人机飞行稳定性的影响。采用机械设计、控制理论与传感系统相结合的多学科方法，解决包裹定位难题。实验部分严格测试不同尺寸载荷及其位置对最大推力为2000克力的无人机的影响。结果表明，当载荷覆盖螺旋桨面积达50%时，无人机仍可稳定起吊；负载置于机身上方时，滚转、俯仰和偏航姿态误差低至0.1%。该研究为无人机技术在更复杂实际场景中的应用奠定了基础，推动了可持续快递系统的优化设计。
原文摘要 · Abstract (English)
In an era of rapid urbanization and e-commerce growth, efficient parcel delivery methods are crucial. This paper presents a detailed study of the aerodynamics and sensing analysis of drones for parcel delivery. Utilizing Computational Fluid Dynamics (CFD), the study offers a comprehensive airflow analysis, revealing the aerodynamic forces affecting drone stability due to payload capacity. A multidisciplinary approach is employed, integrating mechanical design, control theory, and sensing systems to address the complex issue of parcel positioning. The experimental validation section rigorously tests different size payloads and their positions and impact on drones with maximum thrusts of 2000 gf. The findings prove the drone's capacity to lift a large payload that covers up to 50 percent of the propeller, thereby contributing to optimizing drone designs and sustainable parcel delivery systems. It has been observed that the drone can lift a large payload smoothly when placed above the drone, with an error rate as low as 0.1 percent for roll, pitch, and yaw. This work paved the way for more versatile, real-world applications of drone technology, setting a new standard in the field.
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