2026-04-17T00:59:47Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/3340922025-07-23T01:57:15Zcom_2072_1033col_2072_452951

00925njm 22002777a 4500 dc González I Marqués, Pol author 2020-11-30 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. Àrees temàtiques de la UPC::Aeronàutica i espai::Aeronaus Drone aircraft Drone operation Trajectory analysis Predictive maintenance Avions no tripulats Drone trajectory analysis