CBL - Campus del Baix Llobregat

Projecte llegit

Títol: Automatic Remain Well Clear Detection and Maneuvering for Drones

Estudiants que han llegit aquest projecte:

Director/a: PASTOR LLORENS, ENRIC

Departament: DAC

Títol: Automatic Remain Well Clear Detection and Maneuvering for Drones

Data inici oferta: 27-07-2020     Data finalització oferta: 27-03-2021


Estudis d'assignació del projecte:
    DG ENG AERO/SIS TEL
    DG ENG AERO/TELEMÀT
    DG ENG SISTE/TELEMÀT
Tipus: Coordinat    Títol: Cloud-based Remain Well Clear and Collision Avoidance for Drones - (RWC)
 
Lloc de realització: EETAC
 
Paraules clau:
Remain Well Clear, Collision avoidance, drones, 4G, internet, ADS-B
 
Descripció del contingut i pla d'activitats:
The integration of drones in non-segregated airspace requires
the implementation of two key functions: the remain well clear
and the collision avoidance functions. Remain well clear
intended to keep vehicles separated a safe distance from each
other, while collision avoidance is intended as a last ditch
system providing directions to avoid imminent collisions.

Integrating this functions into drones is complicated, as
their capacity to carry additional avionics is limited.

This project intends to address the problem from a different
perspective; that is, moving the responsibility of
implementing those functions to the cloud. With existing
technology, drones can be connected to internet through 4G/5G
technology, thus being able to create a continuous flow of
positioning information. Services on the cloud can determine
if any breach on the RWC or CA functions may happen, thus
providing the necessary traffic advisory to avoid the
conflict.

The project will implement a prototype of both functions based
on the already existing 4G capabilities and the exploitation f
miniaturized ADS-B devices.
 
Overview (resum en anglès):
In this project, a Well Clear system for drones has been developed by adapting an existing system used for a Remotely Piloted Aircraft System. The Well Clear system proposed in this project can determine the drone¿s Well Clear status and give the optimal solution to the remote pilot.

The solution that the software provides to the pilot to remain in Well Clear will be a horizontal, a vertical, or a speed maneuver. The software will loop over all possible maneuvers to find the best one from each type and finally, it will select the optimal one among the three maneuvers.

To compare the cost of all maneuvers, the following two variables will be considered: the amount of time that the drone remains in Well Clear Violation, and the impact of the maneuver over the original trajectory.

Also, this project will study the impact of the used technology for telecommunication on the Remain Well Clear system. The selected technology for drone¿s air traffic communications is the mobile network, which is adapted for terrestrial users instead of aerial ones, leading to interference problems.

Not only interferences will be discussed, but also delay and the handover processes performance will be considered. There is a maximum latency fixed for U-Space communications and it will be proved if the mobile telecommunication network fits with this requirement.

Handover processes will be considered as they could decrease communication performance. Finally, the pilot time response will be studied as it could be a key factor when determining whether the Remain Well Clear system is viable or not.

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