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Communication dans un congrès
Experimental Wind Field Estimation and Aircraft Identification
Abstract : The presented work is focusing on the wind estimation and airframe identification based on real flight experiments as part of the SkyScanner project. The overall objective of this project is to estimate the local wind field in order to study the formation of cumulus-type clouds with a fleet of autonomous mini-UAVs involving many aspects including flight control and energy harvesting. For this purpose, a small UAV has been equipped with airspeed and angle of attack sensors. Flight data are recorded on-board at high speed for post-analyses. An approach based on Unscented Kalman Filter (UKF) is proposed for nonlinear wind estimation. As a first result, wind updraft estimation is highlighted by exploiting recorded flight test data. In addition to this, a motor test bench has been developed in order to establish a model of the propulsion system from wind tunnel experiments. It will be combined with a classical aerodynamic model for airframe identification Preliminary flight results are presented.
Littérature citée [21 références]
https://hal-enac.archives-ouvertes.fr/hal-01204624
Contributeur : Laurence Porte Connectez-vous pour contacter le contributeur
Soumis le : jeudi 24 septembre 2015 - 11:54:01
Dernière modification le : mardi 19 octobre 2021 - 11:02:49
Archivage à long terme le : : mardi 29 décembre 2015 - 09:46:57
Contributeur : Laurence Porte Connectez-vous pour contacter le contributeur
Soumis le : jeudi 24 septembre 2015 - 11:54:01
Dernière modification le : mardi 19 octobre 2021 - 11:02:49
Archivage à long terme le : : mardi 29 décembre 2015 - 09:46:57
Fichier
imav2015_wind_estimation.pdf
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