Aerodynamic and wind energy harvesting integrative design for UAVs

Wang Wei; An Weigang; Song Bifeng; Yang Wenqing; Luo Yang

doi:10.7638/kqdlxxb-2024.0168

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Aerodynamic and wind energy harvesting integrative design for UAVs

更新时间：2026-05-28

- Aerodynamic and wind energy harvesting integrative design for UAVs
- Vol. 44, Issue 1, Pages: 48-58(2026)
- 作者机构：
  
  1. 飞行器基础布局全国重点实验室,西安,710072
  2. 西北工业大学航空学院,西安,710072
- 作者简介：
- 基金信息：
- DOI：10.7638/kqdlxxb-2024.0168
  CLC： V22
- Published：2026
- 稿件说明：
移动端阅览
王为, 安伟刚, 宋笔锋, 等. 无人机气动/风能获取一体化设计[J]. 空气动力学学报, 2026, 44(1): 48−58.

Wang Wei, An Weigang, Song Bifeng, et al. Aerodynamic and wind energy harvesting integrative design for UAVs[J]. 2026, 44(1): 48-58.
王为, 安伟刚, 宋笔锋, 等. 无人机气动/风能获取一体化设计[J]. 空气动力学学报, 2026, 44(1): 48−58. DOI： 10.7638/kqdlxxb-2024.0168

Wang Wei, An Weigang, Song Bifeng, et al. Aerodynamic and wind energy harvesting integrative design for UAVs[J]. 2026, 44(1): 48-58. DOI： 10.7638/kqdlxxb-2024.0168.

摘要

动态滑翔作为一种通过穿越水平风梯度实现无动力长距离飞行的特殊飞行模式，在提升无人机航程与航时方面极具潜力。本文聚焦固定翼参数化设计，通过仿生关节结构的静态外形优化实现动态变形控制的替代，在避免复杂机构设计的同时提升获能效率。本文对不同设计参数对应的气动力进行计算，并基于计算结果提出无人机气动/风能获取一体化设计方法。该方法利用神经网络实现气动力的快速求解，以最大化获能为优化目标，利用高斯伪谱法求解最佳机翼外形，最终得到了满足高效能量获取的机翼外形。此外，本研究利用飞行仿真对比了基本翼、以最佳升阻比为目标设计的无人机和基于气动/风能获取一体化设计的无人机在进行动态滑翔时的获能效率。结果表明，基于气动/风能获取一体化设计的无人机获能量与获能效率最大，相比于优化前提升了979.04%，相比于最佳升阻比设计提升了10.09%。气动/风能获取一体化设计的无人机在获能段做功提升了50%以上，验证了气动/风能获取一体化设计的可行性。本文提出的设计方法为突破无人机动态滑翔获能瓶颈提供了工程支撑。

Abstract

Dynamic soaring

a special flight mode that enables unpowered long-distance flight by utilizing horizontal wind gradients

holds great potential for enhancing the range and endurance of unmanned aerial vehicles (UAVs). This paper focuses on the parametric design of fixed-wing UAVs

replacing dynamic deformation control with static shape optimization of bionic joint structures to achieve efficient energy harvesting while avoiding complex mechanisms. By calculating and analyzing aerodynamic results corresponding to different design parameters

this study proposes an aerodynamic and wind energy harvesting integrative design method for UAVs. This method employs neural networks to achieve rapid solutions for aerodynamic forces and uses the Gauss pseudospectral method to solve for the optimal wing shape

ultimately obtaining a wing configuration that meets the requirements of efficient energy harvesting. In addition

flight simulations are conducted to compare the energy harvesting efficiency of three different wing shapes during dynamic soaring: basic wing

maximum lift-to-drag ratio wing

and aerodynamic and wind energy harvesting integrative design result. Results show that the UAV with the integrated design achieves the highest energy harvest amount and efficiency

with an increase of 979.04% compared to the basic wing and 10.09% compared to the maximum lift-to-drag ratio wing. The energy gain rate (work) done by the integrated design UAV during the energy harvesting phase is improved by more than 50%

verifying the feasibility of the aerodynamic and wind energy harvesting integrative design method. This design method provides engineering support for breaking through the bottleneck of UAV dynamic soaring energy harvesting.

关键词

Keywords

references

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