Wind Speed and Direction Detection by Means of Solid-state Anemometers Embedded on Small Quadcopters
This work describes the application of a compact, MEMS-based, 2D anemometer to the estimation of a quadrotor's airspeed. Correcting for the vehicle's ground speed provided by internal GPS and inertial units allows this low cost, mobile platform to provide local wind speed estimates. A seri...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
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Elsevier
2018
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| Online Access: | http://hdl.handle.net/1721.1/114647 https://orcid.org/0000-0002-5867-4900 https://orcid.org/0000-0002-8293-0492 |
| _version_ | 1811081694833278976 |
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| author | Bruschi, P. Piotto, M. Dell’Agnello, F. Ware, John W. Roy, Nicholas |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Bruschi, P. Piotto, M. Dell’Agnello, F. Ware, John W. Roy, Nicholas |
| author_sort | Bruschi, P. |
| collection | MIT |
| description | This work describes the application of a compact, MEMS-based, 2D anemometer to the estimation of a quadrotor's airspeed. Correcting for the vehicle's ground speed provided by internal GPS and inertial units allows this low cost, mobile platform to provide local wind speed estimates. A series of initial, bench-top tests were performed to characterize and calibrate the sensor, which is an improved version of a recently proposed and novel device. Additional full-scale wind tunnel experiments were performed with the sensor mounted on a fixed quadrotor to test the effect of the propellers on the sensor's performance. Keywords: wind sensor; quadcopter; MEMS; UAV |
| first_indexed | 2024-09-23T11:51:00Z |
| format | Article |
| id | mit-1721.1/114647 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T11:51:00Z |
| publishDate | 2018 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/1146472022-10-01T06:28:08Z Wind Speed and Direction Detection by Means of Solid-state Anemometers Embedded on Small Quadcopters Bruschi, P. Piotto, M. Dell’Agnello, F. Ware, John W. Roy, Nicholas Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Ware, John W. Roy, Nicholas This work describes the application of a compact, MEMS-based, 2D anemometer to the estimation of a quadrotor's airspeed. Correcting for the vehicle's ground speed provided by internal GPS and inertial units allows this low cost, mobile platform to provide local wind speed estimates. A series of initial, bench-top tests were performed to characterize and calibrate the sensor, which is an improved version of a recently proposed and novel device. Additional full-scale wind tunnel experiments were performed with the sensor mounted on a fixed quadrotor to test the effect of the propellers on the sensor's performance. Keywords: wind sensor; quadcopter; MEMS; UAV 2018-04-10T15:41:42Z 2018-04-10T15:41:42Z 2017-01 2018-04-09T18:28:22Z Article http://purl.org/eprint/type/ConferencePaper 1877-7058 http://hdl.handle.net/1721.1/114647 Bruschi, P. et al. “Wind Speed and Direction Detection by Means of Solid-State Anemometers Embedded on Small Quadcopters.” Procedia Engineering 168 (2016): 802–805 © 2016 The Authors https://orcid.org/0000-0002-5867-4900 https://orcid.org/0000-0002-8293-0492 http://dx.doi.org/10.1016/j.proeng.2016.11.274 Procedia Engineering Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier Elsevier |
| spellingShingle | Bruschi, P. Piotto, M. Dell’Agnello, F. Ware, John W. Roy, Nicholas Wind Speed and Direction Detection by Means of Solid-state Anemometers Embedded on Small Quadcopters |
| title | Wind Speed and Direction Detection by Means of Solid-state Anemometers Embedded on Small Quadcopters |
| title_full | Wind Speed and Direction Detection by Means of Solid-state Anemometers Embedded on Small Quadcopters |
| title_fullStr | Wind Speed and Direction Detection by Means of Solid-state Anemometers Embedded on Small Quadcopters |
| title_full_unstemmed | Wind Speed and Direction Detection by Means of Solid-state Anemometers Embedded on Small Quadcopters |
| title_short | Wind Speed and Direction Detection by Means of Solid-state Anemometers Embedded on Small Quadcopters |
| title_sort | wind speed and direction detection by means of solid state anemometers embedded on small quadcopters |
| url | http://hdl.handle.net/1721.1/114647 https://orcid.org/0000-0002-5867-4900 https://orcid.org/0000-0002-8293-0492 |
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