Using A Quadrotor As Wind Sensor: Time-Varying ...
Type de document :
Article dans une revue scientifique: Article original
Titre :
Using A Quadrotor As Wind Sensor: Time-Varying Parameter Estimation Algorithms
Auteur(s) :
Perozzi, Gabriele [Auteur correspondant]
Laboratoire de Mécanique des Fluides de Lille - Kampé de Fériet [LMFL]
DAAA, ONERA [Lille]
Efimov, Denis [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Biannic, Jean-Marc [Auteur]
DTIS, ONERA, Université de Toulouse [Toulouse]
Planckaert, Laurent [Auteur]
DAAA, ONERA [Lille]
Laboratoire de Mécanique des Fluides de Lille - Kampé de Fériet [LMFL]
DAAA, ONERA [Lille]
Efimov, Denis [Auteur]

Finite-time control and estimation for distributed systems [VALSE]
Biannic, Jean-Marc [Auteur]
DTIS, ONERA, Université de Toulouse [Toulouse]
Planckaert, Laurent [Auteur]
DAAA, ONERA [Lille]
Titre de la revue :
International Journal of Control
Pagination :
126-137
Éditeur :
Taylor & Francis
Date de publication :
2020
ISSN :
0020-7179
Mot(s)-clé(s) en anglais :
Quadrotor
wind velocity estimation
time-varying parameter estimation
wind velocity estimation
time-varying parameter estimation
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
The objective of this paper is to develop an algorithm for the estimation of time-varying wind parameters by taking into account a detailed quadrotor model. The design objectives include the time convergence optimization, ...
Lire la suite >The objective of this paper is to develop an algorithm for the estimation of time-varying wind parameters by taking into account a detailed quadrotor model. The design objectives include the time convergence optimization, robustness to measurement noises, and a guaranteed convergence of the estimates to the true values under mild applicability conditions. It is supposed that the estimation algorithm can use IMU (accelerometers, gyroscopes) sensors augmented with an earth reference tracking system and rotor rotational velocity sensors. To this end, three time-varying parameter estimation algorithms are introduced, compared and finally merged to estimate the varying wind velocity in on-board quadrotor systems. Final numerical experiments , using a nonlinear quadrotor simulator, are used to validate the proposed approaches.Lire moins >
Lire la suite >The objective of this paper is to develop an algorithm for the estimation of time-varying wind parameters by taking into account a detailed quadrotor model. The design objectives include the time convergence optimization, robustness to measurement noises, and a guaranteed convergence of the estimates to the true values under mild applicability conditions. It is supposed that the estimation algorithm can use IMU (accelerometers, gyroscopes) sensors augmented with an earth reference tracking system and rotor rotational velocity sensors. To this end, three time-varying parameter estimation algorithms are introduced, compared and finally merged to estimate the varying wind velocity in on-board quadrotor systems. Final numerical experiments , using a nonlinear quadrotor simulator, are used to validate the proposed approaches.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Source :
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