CBL - Campus del Baix Llobregat

Projecte llegit

Títol: Drone trajectory Analysis

Estudiants que han llegit aquest projecte:

Director/a: PASTOR LLORENS, ENRIC

Departament: DAC

Títol: Drone trajectory Analysis

Data inici oferta: 24-07-2019     Data finalització oferta: 24-03-2020


Estudis d'assignació del projecte:
    DG ENG AERO/SIS TEL
    DG ENG AERO/TELEMÀT
    DG ENG SISTE/TELEMÀT
    GR ENG SIS TELECOMUN
    GR ENG SIST AEROESP
    GR ENG TELEMÀTICA
    MU AEROSPACE S&T 15
    MU DRONS
    MU MASTEAM 2015
Tipus: Individual
 
Lloc de realització: EETAC
 
Paraules clau:
Drone operation, trajectory analysis, predictive maintenance
 
Descripció del contingut i pla d'activitats:
The operational performance of drones is not well understood
yet. Along with the operation history of a specific drone,
there is no metric to measure how its performance is evolving
or degrading.
This analysis is extremely important, as it will determine if
that specific drone may require any time of maintenance, or
even worst, it there is a pending failure that will show up
unexpectedly.
This project intends to develop a drone performance model that
should capture the evolution in the operational performance of
a vehicle, and in that way understand and predict the
potential failure evolution of that particular vehicle.
 
Overview (resum en anglès):
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.

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