Wind Estimation in the Lower Atmosphere Using Multirotor Aircraft
Unmanned aerial vehicles are increasingly used to study atmospheric structure and dynamics. While much emphasis has been on the development of fixed-wing unmanned aircraft for atmospheric investigations, the use of multirotor aircraft is relatively unexplored, especially for capturing atmospheric wi...
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| Published in: | Journal of atmospheric and oceanic technology Vol. 34; no. 5; pp. 1183 - 1191 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Boston
American Meteorological Society
01.05.2017
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| ISSN: | 0739-0572, 1520-0426 |
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| Abstract | Unmanned aerial vehicles are increasingly used to study atmospheric structure and dynamics. While much emphasis has been on the development of fixed-wing unmanned aircraft for atmospheric investigations, the use of multirotor aircraft is relatively unexplored, especially for capturing atmospheric winds. The purpose of this article is to demonstrate the efficacy of estimating wind speed and direction with 1) a direct approach using a sonic anemometer mounted on top of a hexacopter and 2) an indirect approach using attitude data from a quadcopter. The data are collected by the multirotor aircraft hovering 10 m above ground adjacent to one or more sonic anemometers. Wind speed and direction show good agreement with sonic anemometer measurements in the initial experiments. Typical errors in wind speed and direction are smaller than 0.5
and 30°, respectively. Multirotor aircraft provide a promising alternative to traditional platforms for vertical profiling in the atmospheric boundary layer, especially in conditions where a tethered balloon system is typically deployed. |
|---|---|
| AbstractList | Unmanned aerial vehicles are increasingly used to study atmospheric structure and dynamics. While much emphasis has been on the development of fixed-wing unmanned aircraft for atmospheric investigations, the use of multirotor aircraft is relatively unexplored, especially for capturing atmospheric winds. The purpose of this article is to demonstrate the efficacy of estimating wind speed and direction with 1) a direct approach using a sonic anemometer mounted on top of a hexacopter and 2) an indirect approach using attitude data from a quadcopter. The data are collected by the multirotor aircraft hovering 10 m above ground adjacent to one or more sonic anemometers. Wind speed and direction show good agreement with sonic anemometer measurements in the initial experiments. Typical errors in wind speed and direction are smaller than 0.5
and 30°, respectively. Multirotor aircraft provide a promising alternative to traditional platforms for vertical profiling in the atmospheric boundary layer, especially in conditions where a tethered balloon system is typically deployed. Unmanned aerial vehicles are increasingly used to study atmospheric structure and dynamics. While much emphasis has been on the development of fixed-wing unmanned aircraft for atmospheric investigations, the use of multirotor aircraft is relatively unexplored, especially for capturing atmospheric winds. The purpose of this article is to demonstrate the efficacy of estimating wind speed and direction with 1) a direct approach using a sonic anemometer mounted on top of a hexacopter and 2) an indirect approach using attitude data from a quadcopter. The data are collected by the multirotor aircraft hovering 10 m above ground adjacent to one or more sonic anemometers. Wind speed and direction show good agreement with sonic anemometer measurements in the initial experiments. Typical errors in wind speed and direction are smaller than 0.5 and 30°, respectively. Multirotor aircraft provide a promising alternative to traditional platforms for vertical profiling in the atmospheric boundary layer, especially in conditions where a tethered balloon system is typically deployed. |
| Author | Sherman, Thomas J. De Wekker, Stephan F. J. Rose, Nathan T. Palomaki, Ross T. van den Bossche, Michael |
| Author_xml | – sequence: 1 givenname: Ross T. surname: Palomaki fullname: Palomaki, Ross T. organization: Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia – sequence: 2 givenname: Nathan T. surname: Rose fullname: Rose, Nathan T. organization: Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia – sequence: 3 givenname: Michael surname: van den Bossche fullname: van den Bossche, Michael organization: Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia – sequence: 4 givenname: Thomas J. surname: Sherman fullname: Sherman, Thomas J. organization: Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia – sequence: 5 givenname: Stephan F. J. surname: De Wekker fullname: De Wekker, Stephan F. J. organization: Department of Environmental Sciences, University of Virginia, Charlottesville, Virginia |
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| Title | Wind Estimation in the Lower Atmosphere Using Multirotor Aircraft |
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