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FERNANDO MONTANO

Automatic Wind Identification for UAS: a Case Study

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