Automatic Wind Identification for UAS: a Case Study
- Authors: Montano F.; Benedetti I.
- Publication year: 2024
- Type: Contributo in atti di convegno pubblicato in volume
- OA Link: http://hdl.handle.net/10447/664766
Abstract
UAS applications are nowadays experiencing a tremendous development both in the civil and in military sector. One of the main issues for this kind of autonomous vehicles is induced by atmospheric turbulence, which may pose a severe problem especially for small size UAV. The present research extends previous investigations to a broader range of turbulence spectra and tests an innovative procedure based on Extended Kalman Filter (EKF) autotune for wind identification