Measuring Wind Speed Using the Internal Stabilization System of a Quadrotor Drone

This article proposes a method of measuring wind speed using the data logged by the autopilot of a quadrotor drone. Theoretical equations from works on quadrotor control are utilized and supplemented to form the theoretical framework. Static thrust tests provide the necessary parameters for calculat...

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Main Authors: Magdalena Simma, Håvard Mjøen, Tobias Boström
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Drones
Subjects:
Online Access:https://www.mdpi.com/2504-446X/4/2/23
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author Magdalena Simma
Håvard Mjøen
Tobias Boström
author_facet Magdalena Simma
Håvard Mjøen
Tobias Boström
author_sort Magdalena Simma
collection DOAJ
description This article proposes a method of measuring wind speed using the data logged by the autopilot of a quadrotor drone. Theoretical equations from works on quadrotor control are utilized and supplemented to form the theoretical framework. Static thrust tests provide the necessary parameters for calculating wind estimates. Flight tests were conducted at a test site with laminar wind conditions with the quadrotor hovering next to a static 2D ultrasonic anemometer with wind speeds between 0–5 m/s. Horizontal wind estimates achieve exceptionally good results with root mean square error (RMSE) values between 0.26–0.29 m/s for wind speed, as well as between 4.1–4.9 for wind direction. The flexibility of this new method simplifies the process, decreases the cost, and adds new application areas for wind measurements.
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spelling doaj.art-33af7f475ba946298c26f7fc1deed4562023-11-20T04:01:22ZengMDPI AGDrones2504-446X2020-06-01422310.3390/drones4020023Measuring Wind Speed Using the Internal Stabilization System of a Quadrotor DroneMagdalena Simma0Håvard Mjøen1Tobias Boström2Department of Physics and Technology, UiT—The Arctic University of Norway, P.O. Box 6050, Langnes, N-9037 Tromsø, NorwayDepartment of Physics and Technology, UiT—The Arctic University of Norway, P.O. Box 6050, Langnes, N-9037 Tromsø, NorwayDepartment of Physics and Technology, UiT—The Arctic University of Norway, P.O. Box 6050, Langnes, N-9037 Tromsø, NorwayThis article proposes a method of measuring wind speed using the data logged by the autopilot of a quadrotor drone. Theoretical equations from works on quadrotor control are utilized and supplemented to form the theoretical framework. Static thrust tests provide the necessary parameters for calculating wind estimates. Flight tests were conducted at a test site with laminar wind conditions with the quadrotor hovering next to a static 2D ultrasonic anemometer with wind speeds between 0–5 m/s. Horizontal wind estimates achieve exceptionally good results with root mean square error (RMSE) values between 0.26–0.29 m/s for wind speed, as well as between 4.1–4.9 for wind direction. The flexibility of this new method simplifies the process, decreases the cost, and adds new application areas for wind measurements.https://www.mdpi.com/2504-446X/4/2/23wind measurementanemometerUAVdronequadrotorstatic thrust test
spellingShingle Magdalena Simma
Håvard Mjøen
Tobias Boström
Measuring Wind Speed Using the Internal Stabilization System of a Quadrotor Drone
Drones
wind measurement
anemometer
UAV
drone
quadrotor
static thrust test
title Measuring Wind Speed Using the Internal Stabilization System of a Quadrotor Drone
title_full Measuring Wind Speed Using the Internal Stabilization System of a Quadrotor Drone
title_fullStr Measuring Wind Speed Using the Internal Stabilization System of a Quadrotor Drone
title_full_unstemmed Measuring Wind Speed Using the Internal Stabilization System of a Quadrotor Drone
title_short Measuring Wind Speed Using the Internal Stabilization System of a Quadrotor Drone
title_sort measuring wind speed using the internal stabilization system of a quadrotor drone
topic wind measurement
anemometer
UAV
drone
quadrotor
static thrust test
url https://www.mdpi.com/2504-446X/4/2/23
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