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Correction of Error of Airborne Anemometers Caused by Self-Excited Air Turbulence

An airborne anemometer, which monitors wind on the basis of Meteorological Multi-rotor UAVs (Unmanned Aerial Vehicles), is important for the prevention of catastrophe. However, its performance will be affected by the self-excited air turbulence generated by UAV rotors. In this paper, for the purpose...

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Detalles Bibliográficos
Autores principales: Liu, Jianqiang, Zhao, Zhan, Fang, Zhen, Li, Yong, Du, Lidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181681/
https://www.ncbi.nlm.nih.gov/pubmed/37177492
http://dx.doi.org/10.3390/s23094288
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author Liu, Jianqiang
Zhao, Zhan
Fang, Zhen
Li, Yong
Du, Lidong
author_facet Liu, Jianqiang
Zhao, Zhan
Fang, Zhen
Li, Yong
Du, Lidong
author_sort Liu, Jianqiang
collection PubMed
description An airborne anemometer, which monitors wind on the basis of Meteorological Multi-rotor UAVs (Unmanned Aerial Vehicles), is important for the prevention of catastrophe. However, its performance will be affected by the self-excited air turbulence generated by UAV rotors. In this paper, for the purpose of the correction of an error, we developed a method for the elimination of the influence of air turbulence on wind speed measurement. The corresponding correction model is obtained according to the CFD (Computational Fluid Dynamics) simulation of a six-rotor UAV which is carried out with the sliding grid method and the S-A turbulence model. Then, the model is applied to the developed prototype by adding the angle of attack compensation model of the airborne anemometer. It is shown by the actual application that the airborne anemometer can maintain the original measurement accuracy at different ascent speeds.
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spelling pubmed-101816812023-05-13 Correction of Error of Airborne Anemometers Caused by Self-Excited Air Turbulence Liu, Jianqiang Zhao, Zhan Fang, Zhen Li, Yong Du, Lidong Sensors (Basel) Article An airborne anemometer, which monitors wind on the basis of Meteorological Multi-rotor UAVs (Unmanned Aerial Vehicles), is important for the prevention of catastrophe. However, its performance will be affected by the self-excited air turbulence generated by UAV rotors. In this paper, for the purpose of the correction of an error, we developed a method for the elimination of the influence of air turbulence on wind speed measurement. The corresponding correction model is obtained according to the CFD (Computational Fluid Dynamics) simulation of a six-rotor UAV which is carried out with the sliding grid method and the S-A turbulence model. Then, the model is applied to the developed prototype by adding the angle of attack compensation model of the airborne anemometer. It is shown by the actual application that the airborne anemometer can maintain the original measurement accuracy at different ascent speeds. MDPI 2023-04-26 /pmc/articles/PMC10181681/ /pubmed/37177492 http://dx.doi.org/10.3390/s23094288 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Jianqiang
Zhao, Zhan
Fang, Zhen
Li, Yong
Du, Lidong
Correction of Error of Airborne Anemometers Caused by Self-Excited Air Turbulence
title Correction of Error of Airborne Anemometers Caused by Self-Excited Air Turbulence
title_full Correction of Error of Airborne Anemometers Caused by Self-Excited Air Turbulence
title_fullStr Correction of Error of Airborne Anemometers Caused by Self-Excited Air Turbulence
title_full_unstemmed Correction of Error of Airborne Anemometers Caused by Self-Excited Air Turbulence
title_short Correction of Error of Airborne Anemometers Caused by Self-Excited Air Turbulence
title_sort correction of error of airborne anemometers caused by self-excited air turbulence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181681/
https://www.ncbi.nlm.nih.gov/pubmed/37177492
http://dx.doi.org/10.3390/s23094288
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