Nowadays, UAS application are developing so fast either in civil or in military application. One of the most important problem for this kind of autonomous vehicles is the atmospheric turbulence. This is a several problem especially for small dimension UAS. This research expand previous results to more dierent turbulence spectrum and tests an innovative procedure based on Extended Kalman Filter (EKF) autotune.
Montano F., Benedetti I. (2024). Automatic Wind Identification for UAS: a Case Study. In AIP Conference Proceedings, Volume 3094 [10.1063/5.0210449].
Automatic Wind Identification for UAS: a Case Study
Montano F.
;Benedetti I.
2024-06-07
Abstract
Nowadays, UAS application are developing so fast either in civil or in military application. One of the most important problem for this kind of autonomous vehicles is the atmospheric turbulence. This is a several problem especially for small dimension UAS. This research expand previous results to more di erent turbulence spectrum and tests an innovative procedure based on Extended Kalman Filter (EKF) autotune.
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