中国民航大学学报 ›› 2026, Vol. 44 ›› Issue (2): 81-87.

• 通用航空与无人机 • 上一篇    下一篇

基于 CFD 仿真的多旋翼无人机风速测量研究

  

  1. 中国民航大学航空工程学院,天津 300300
  • 收稿日期:2025-05-20 修回日期:2025-06-25 出版日期:2026-04-30 发布日期:2026-05-06
  • 作者简介:田静(1972— ),女,天津人,教授,博士,研究方向为飞机起落架系统非线性动力学与振动抑制
  • 基金资助:
    天津市低空经济基础技术与产业布局研究项目(2024079)

Investigation of wind speed measurement for multi-rotor UAV based on CFD simulation

  1. College of Aeronautical Engineering, CAUC, Tianjin 300300, China
  • Received:2025-05-20 Revised:2025-06-25 Online:2026-04-30 Published:2026-05-06
  • Supported by:

摘要: 为解决多旋翼无人机(UAV,unmanned aerial vehicle)在风场测量过程中因机体外部扰动导致风速测量不准 确的问题,本文采用计算流体动力学(CFD,computational fluid dynamics)仿真方法,分析 UAV 飞行过程中外 部畸变流场对超声波风速仪测量结果的影响,结果表明,UAV 搭载的超声波风速仪所测到的风速值偏大。 将经过仿真分析获取的定量偏差值作为修订项引入风速计算公式中,试验验证发现,修正后的北向风速标 准差相比未修正前由 0.844 6 降低到 0.309 3;东向风速标准差相比未修正前由 0.664 9 降低到 0.470 2,证实 了本套测量系统提高了风场测量的准确性,并为进一步研究 UAV 风速测量方法提供了参考。

关键词: 多旋翼无人机(UAV), 风速测量, 流场分析, 超声波风速仪, CFD 仿真

Abstract: To address the issue of inaccurate wind speed measurement caused by external disturbances during the wind field measurement process of multi-rotor unmanned aerial vehicle (UAV), computational fluid dynamics (CFD) simu鄄 lation approach was employed to analyze the influence of the external distorted flow field generated during UAV flight on the measurement results of the ultrasonic anemometer. The results indicate that the wind speed values measured by the ultrasonic anemometer carried by the UAV were relatively high. Quantitative deviation values were derived from the simulations and incorporated as correction factors into the wind speed calculation formula. Experimental validation demonstrate that compared with the uncorrected wind speed values, the standard devia鄄 tion of the corrected northbound wind speed is reduced from 0.844 6 to 0.309 3, while that of the eastbound wind speed decreased from 0.664 9 to 0.470 2. These results confirm that the measurement system improves the accu鄄 racy of wind field measurement and provides a reference for further research on UAV wind speed measurement methods.

Key words: multi-rotor unmanned aerial vehicle (UAV), wind speed measurement, flow field analysis, ultrasonic anemometer, computational fluid dynamics (CFD) simulation

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