The present work deals with the design and validation of a formation flight control algorithm able to manage five aircraft simulated using a linear model representative of a a medium altitude, long endurance unmanned airplane. The proposed approach is based on the artificial potential field and it is validated both in bi-dimensional and three-dimensional spaces. Even though the aircraft models are time-invariant, the external environment is simulated to be time-variant. In fact, within the simulation it is possible to simulate intruders, or object moving with its own dynamics, and no-fly zones.

Formation Flight of Multiple UAVs Using Artificial Potential Field Algorithm / Favia, Alessandro; Lerro, Angelo; Gili, Piero; Papa, Umberto; Chiesa, Alberto. - (2023). ( AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023 San Diego, CA (USA) 12-16 June 2023) [10.2514/6.2023-4148].

Formation Flight of Multiple UAVs Using Artificial Potential Field Algorithm

Lerro, Angelo;Gili, Piero;
2023

Abstract

The present work deals with the design and validation of a formation flight control algorithm able to manage five aircraft simulated using a linear model representative of a a medium altitude, long endurance unmanned airplane. The proposed approach is based on the artificial potential field and it is validated both in bi-dimensional and three-dimensional spaces. Even though the aircraft models are time-invariant, the external environment is simulated to be time-variant. In fact, within the simulation it is possible to simulate intruders, or object moving with its own dynamics, and no-fly zones.
2023
978-1-62410-704-7
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2997428