Supporting Space Traffic Management

A Road to Collision Avoidance Manoeuvring for Constellations

Master Thesis (2021)
Author(s)

G.Z.Q. Laan (TU Delft - Aerospace Engineering)

Contributor(s)

M.C. Naeije – Mentor (TU Delft - Astrodynamics & Space Missions)

M Snijders – Mentor (Royal Netherlands Aerospace Centre NLR)

Faculty
Aerospace Engineering
Copyright
© 2021 Gigi Laan
More Info
expand_more
Publication Year
2021
Language
English
Copyright
© 2021 Gigi Laan
Graduation Date
25-03-2021
Awarding Institution
Delft University of Technology
Programme
['Aerospace Engineering']
Sponsors
Royal Netherlands Aerospace Centre NLR
Faculty
Aerospace Engineering
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

With the increase of satellite constellations in orbit, the need for a Space Traffic Management (STM) is becoming undeniable. Within the scope of STM, an impartial and optimized collision avoidance advice based on the perspective of two manoeuvrable satellites could encourage more active collision avoidance and pre- vent on-orbit collisions. Using CDM data and operator input for the setup of the optimization, it was shown that in-track manoeuvres performed by either one or both of the satellites have a minimum usage of ∆V in combination with a small displacement and meet the collision probability threshold. Additionally, it was shown that the use of weights in the optimization cost function can influence the manoeuvre magnitude and the respective satellite that needs to perform the manoeuvre. Combining this optimization with a linearized propagation of the satellite states, a quick recommendation can be generated on the manoeuvre options for both satellites, which could help the development of an STM in terms of an impartial collision avoidance manoeuvre advice system.

Files

Thesis_GigiLaan_4229274.pdf
(pdf | 13.4 Mb)
License info not available