One of the most important problem of autonomous flight for UAS is the wind identification, especially for small scale vehicles. This research focusses on an identification methodology based on the Extended Kalman Filter (EKF). In particular authors focus their attention on.the filter tuning problem. The proposed procedure requires low computational power, so it is very useful for UAS. Besides it allows a robust wind component identification even when, as it is usually, the measurement data set is affected by noticeable noises. (C) 2019 Elsevier Masson SAS. All rights reserved.

Grillo C., Montano F. (2019). Wind component estimation for UAS flying in turbulent air. AEROSPACE SCIENCE AND TECHNOLOGY, 93 [10.1016/j.ast.2019.105317].

Wind component estimation for UAS flying in turbulent air

Grillo C.
;
Montano F.
2019-01-01

Abstract

One of the most important problem of autonomous flight for UAS is the wind identification, especially for small scale vehicles. This research focusses on an identification methodology based on the Extended Kalman Filter (EKF). In particular authors focus their attention on.the filter tuning problem. The proposed procedure requires low computational power, so it is very useful for UAS. Besides it allows a robust wind component identification even when, as it is usually, the measurement data set is affected by noticeable noises. (C) 2019 Elsevier Masson SAS. All rights reserved.
Settore ING-IND/03 - Meccanica Del Volo
Grillo C., Montano F. (2019). Wind component estimation for UAS flying in turbulent air. AEROSPACE SCIENCE AND TECHNOLOGY, 93 [10.1016/j.ast.2019.105317].
File in questo prodotto:
File Dimensione Formato  
Wind component estimation for UAS flying in turbulent air_per iris.pdf

Solo gestori archvio

Tipologia: Pre-print
Dimensione 596.32 kB
Formato Adobe PDF
596.32 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
1-s2.0-S1270963818326762-main.pdf

Solo gestori archvio

Descrizione: Articolo completo
Tipologia: Versione Editoriale
Dimensione 1.1 MB
Formato Adobe PDF
1.1 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/386911
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 6
social impact