Articles | Volume 14, issue 5
https://doi.org/10.5194/amt-14-3795-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-3795-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 May 2021
Research article |
| 26 May 2021
| 26 May 2021
Distributed wind measurements with multiple quadrotor unmanned aerial vehicles in the atmospheric boundary layer
Tamino Wetz
CORRESPONDING AUTHOR
Deutsches Zentrum für Luft- und Raumfahrt e.V., Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Norman Wildmann
Deutsches Zentrum für Luft- und Raumfahrt e.V., Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Frank Beyrich
Deutscher Wetterdienst, Meteorologisches Observatorium Lindenberg – Richard-Aßmann-Observatorium, Lindenberg, Germany
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Cited
17 citations as recorded by crossref.
- Flow Structure around a Multicopter Drone: A Computational Fluid Dynamics Analysis for Sensor Placement Considerations M. Ghirardelli et al. 10.3390/drones7070467
- UAV-based in situ measurements of CO2 and CH4 fluxes over complex natural ecosystems A. Bolek et al. 10.5194/amt-17-5619-2024
- A case study of offshore evaporation ducts in northeastern Taiwan during summer time J. Hou et al. 10.1007/s00703-024-01047-7
- Wind Field Estimation Using Multiple Quadcopters H. Chen et al. 10.1016/j.ifacol.2023.12.001
- Wind Pressure Orthogonal Decomposition Anemometer: A Wind Measurement Device for Multi-Rotor UAVs T. Hou et al. 10.3390/drones7060366
- Rotary-wing drone-induced flow – comparison of simulations with lidar measurements L. Jin et al. 10.5194/amt-17-2721-2024
- High-resolution wind speed measurements with quadcopter uncrewed aerial systems: calibration and verification in a wind tunnel with an active grid J. Kistner et al. 10.5194/amt-17-4941-2024
- Enhanced resource assessment and atmospheric monitoring of the research wind farm WiValdi N. Wildmann et al. 10.1088/1742-6596/2265/2/022029
- Multi-point in situ measurements of turbulent flow in a wind turbine wake and inflow with a fleet of uncrewed aerial systems T. Wetz & N. Wildmann 10.5194/wes-8-515-2023
- Towards vertical wind and turbulent flux estimation with multicopter uncrewed aircraft systems N. Wildmann & T. Wetz 10.5194/amt-15-5465-2022
- A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
- Enhancing wildfire propagation model predictions using aerial swarm-based real-time wind measurements: A conceptual framework M. Tavakol Sadrabadi & M. Innocente 10.1016/j.apm.2024.03.012
- An evaluation of different measurement strategies to measure wind turbine near wake flow with small multicopter UAS N. Wildmann & J. Kistner 10.1088/1742-6596/2767/4/042004
- Spatially distributed and simultaneous wind measurements with a fleet of small quadrotor UAS T. Wetz & N. Wildmann 10.1088/1742-6596/2265/2/022086
- An Improved Proximal Policy Optimization Method for Low-Level Control of a Quadrotor W. Xue et al. 10.3390/act11040105
- Analyses of Spatial Correlation and Coherence in ABL Flow with a Fleet of UAS T. Wetz et al. 10.1007/s10546-023-00791-4
- Research on the Characteristics of Urban Building Cluster Wind Field Based on UAV Wind Measurement O. Pu et al. 10.3390/buildings13123109
17 citations as recorded by crossref.
- Flow Structure around a Multicopter Drone: A Computational Fluid Dynamics Analysis for Sensor Placement Considerations M. Ghirardelli et al. 10.3390/drones7070467
- UAV-based in situ measurements of CO2 and CH4 fluxes over complex natural ecosystems A. Bolek et al. 10.5194/amt-17-5619-2024
- A case study of offshore evaporation ducts in northeastern Taiwan during summer time J. Hou et al. 10.1007/s00703-024-01047-7
- Wind Field Estimation Using Multiple Quadcopters H. Chen et al. 10.1016/j.ifacol.2023.12.001
- Wind Pressure Orthogonal Decomposition Anemometer: A Wind Measurement Device for Multi-Rotor UAVs T. Hou et al. 10.3390/drones7060366
- Rotary-wing drone-induced flow – comparison of simulations with lidar measurements L. Jin et al. 10.5194/amt-17-2721-2024
- High-resolution wind speed measurements with quadcopter uncrewed aerial systems: calibration and verification in a wind tunnel with an active grid J. Kistner et al. 10.5194/amt-17-4941-2024
- Enhanced resource assessment and atmospheric monitoring of the research wind farm WiValdi N. Wildmann et al. 10.1088/1742-6596/2265/2/022029
- Multi-point in situ measurements of turbulent flow in a wind turbine wake and inflow with a fleet of uncrewed aerial systems T. Wetz & N. Wildmann 10.5194/wes-8-515-2023
- Towards vertical wind and turbulent flux estimation with multicopter uncrewed aircraft systems N. Wildmann & T. Wetz 10.5194/amt-15-5465-2022
- A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
- Enhancing wildfire propagation model predictions using aerial swarm-based real-time wind measurements: A conceptual framework M. Tavakol Sadrabadi & M. Innocente 10.1016/j.apm.2024.03.012
- An evaluation of different measurement strategies to measure wind turbine near wake flow with small multicopter UAS N. Wildmann & J. Kistner 10.1088/1742-6596/2767/4/042004
- Spatially distributed and simultaneous wind measurements with a fleet of small quadrotor UAS T. Wetz & N. Wildmann 10.1088/1742-6596/2265/2/022086
- An Improved Proximal Policy Optimization Method for Low-Level Control of a Quadrotor W. Xue et al. 10.3390/act11040105
- Analyses of Spatial Correlation and Coherence in ABL Flow with a Fleet of UAS T. Wetz et al. 10.1007/s10546-023-00791-4
- Research on the Characteristics of Urban Building Cluster Wind Field Based on UAV Wind Measurement O. Pu et al. 10.3390/buildings13123109
Latest update: 13 Dec 2024
Short summary
A fleet of quadrotors is presented as a system to measure the spatial distribution of atmospheric boundary layer flow. The big advantage of this approach is that multiple and flexible measurement points in space can be sampled synchronously. The algorithm to calculate the horizontal wind is based on the principle of aerodynamic drag and the related quadrotor dynamics. The validation reveals that an average accuracy of < 0.3 m s−1 for the wind speed and < 8° for the wind direction was achieved.
A fleet of quadrotors is presented as a system to measure the spatial distribution of...
