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Projecte llegit

Títol: Drone performance modelling for U-space services

Estudiants que han llegit aquest projecte:

Director/a: PASTOR LLORENS, ENRIC

Departament: DAC

Títol: Drone performance modelling for U-space services

Data inici oferta: 08-02-2024     Data finalització oferta: 08-10-2024


Estudis d'assignació del projecte:
    MU AEROSPACE S&T 21
Tipus: Individual
 
Lloc de realització: EETAC
 
Paraules clau:
U-space, drones, time, performance
 
Descripció del contingut i pla d'activitats:
Develop a drone performance modelling strategy intended to feed the needs of the most relevant advanced U-space services. The analysis should leverage different modelling strategies, from classical dynamic models to alternative machine learning ones, and it will be based on the collection of extensive sets of actual flight data obtained from a large number of U-space deployments currently implemented in Europe. The performance models should enable more accurate flight predictions.
 
Overview (resum en anglès):
Thanks to the wide variety of applications offered by drones, their density has been increasing. This growth in their number could cause consequences, such as possible collisions
between these devices. The way to avoid collisions in a densely populated environment is to
know the trajectory of moving objects. Although it is true that there are already models that
can predict the trajectory of a drone, these represent a very large computational cost, which
is why this document has as its main objective to predict the trajectory of drones in a U-space
environment in a simple way. The document presents a study of the advances in the field of
trajectory prediction (both for airplanes and drones), the concept of U-space, the kinematics of
objects and the mathematical modeling of the object in question. The literature review raises
the possible tools used to know the trajectories such as state estimation, kinematic or machine learning models. It is also necessary to know the concept of the U-space environment,
where the definition of the concept, regulations within the environment and the flight phases
that a drone must perform (pre-flight, in-flight and post-flight) are shown. Because the model
is composed of particle kinematics equations, a chapter was added where the concepts of
each of the equations are explained in both accelerated and non-accelerated models. The
document also contains the main idea, which is the mathematical model. This mathematical
model is developed in several sections of the path. The length of the path will depend on the
characteristics of altitudes, lengths, inclinations and turns. In these small paths, the mixture
of kinematics concepts is used together with the graphical behavior of turns and inclinations.
To develop this model, a mixed sampling approach was used, where the behavior was numerically analyzed to ensure compatibility with the kinematics and the numerical history of
the simulation in Mission Planner.Finally, each of the small trajectories is tested, which yields
relative errors of less than five percentage points.

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