Drone trajectory analysis

Abstract

Within the aviation framework, determining an optimal flight path or having up-to-date information on the status of the aircraft's internal system are key factors for improving efficiency and ensuring incident free flights. Given the current rise of unmanned aerial vehicles, this project entails the development of an algorithm, by Excel-VBA, to monitor the navigation parameters and internal system elements. Specifically, we aim to monitor the performance of a hex-copter and the phases of flight, in order to be able to put into context the other parameters to be analyzed. This information is essentially provided with tables and graphics. This study has been carried out by collecting sets of navigation data for several flights in a model airfield. It has been considered that the conditions for each flight were practically the same. Finally, after processing and monitoring the data gathered, it is verified that the algorithm is capable to identify the phases and flight maneuvers adequately.