| dc.contributor.author | Bruschi, P. | |
| dc.contributor.author | Piotto, M. | |
| dc.contributor.author | Dell’Agnello, F. | |
| dc.contributor.author | Ware, John W. | |
| dc.contributor.author | Roy, Nicholas | |
| dc.date.accessioned | 2018-04-10T15:41:42Z | |
| dc.date.available | 2018-04-10T15:41:42Z | |
| dc.date.issued | 2017-01 | |
| dc.identifier.issn | 1877-7058 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/114647 | |
| dc.description.abstract | 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 | en_US |
| dc.publisher | Elsevier | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1016/j.proeng.2016.11.274 | en_US |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
| dc.source | Elsevier | en_US |
| dc.title | Wind Speed and Direction Detection by Means of Solid-state Anemometers Embedded on Small Quadcopters | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | 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 | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics | en_US |
| dc.contributor.mitauthor | Ware, John W. | |
| dc.contributor.mitauthor | Roy, Nicholas | |
| dc.relation.journal | Procedia Engineering | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2018-04-09T18:28:22Z | |
| dspace.orderedauthors | Bruschi, P.; Piotto, M.; Dell’Agnello, F.; Ware, J.; Roy, N. | en_US |
| dspace.embargo.terms | N | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0002-5867-4900 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-8293-0492 | |
| mit.license | PUBLISHER_CC | en_US |
