A statistical LEO model to investigate adaptable debris control strategies
A statistical LEO model to investigate adaptable debris control strategies
Several strategies have been implemented or proposed to tackle the space debris problem. However, there is still debate on the feasibility, cost and effectiveness of these mitigation measures, especially in light of the increasing use of small satellites in low Earth orbit (LEO) and the drive towards space debris remediation.
This work presents a statistical source-sink debris evolutionary model of the Low Earth Orbit (LEO) with an innovative feedback proportional controller on Active Debris Removal (ADR).
The analysis presented here demonstrates that a proportional adaptive strategy that locally optimises the removal rate performs always better than a globally-optimised removal rate strategy in terms of total number of collisions, number of removal and end populations, lowering the end population and collisions respectively up to 14.09% and 13.24%.
Somma, Gian Luigi
fe2f9516-1fdb-4b9b-a4ce-7b6a7e60b49a
Colombo, Camilla
595ced96-9494-40f2-9763-ad4a0f96bc86
Lewis, Hugh
e9048cd8-c188-49cb-8e2a-45f6b316336a
June 2017
Somma, Gian Luigi
fe2f9516-1fdb-4b9b-a4ce-7b6a7e60b49a
Colombo, Camilla
595ced96-9494-40f2-9763-ad4a0f96bc86
Lewis, Hugh
e9048cd8-c188-49cb-8e2a-45f6b316336a
Somma, Gian Luigi, Colombo, Camilla and Lewis, Hugh
(2017)
A statistical LEO model to investigate adaptable debris control strategies.
Flohrer, T. and Schmitz, F.
(eds.)
In Proceedings 7th European Conference on Space Debris, Darmstadt, Germany, 18–21 April 2017,.
European Space Agency.
12 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Several strategies have been implemented or proposed to tackle the space debris problem. However, there is still debate on the feasibility, cost and effectiveness of these mitigation measures, especially in light of the increasing use of small satellites in low Earth orbit (LEO) and the drive towards space debris remediation.
This work presents a statistical source-sink debris evolutionary model of the Low Earth Orbit (LEO) with an innovative feedback proportional controller on Active Debris Removal (ADR).
The analysis presented here demonstrates that a proportional adaptive strategy that locally optimises the removal rate performs always better than a globally-optimised removal rate strategy in terms of total number of collisions, number of removal and end populations, lowering the end population and collisions respectively up to 14.09% and 13.24%.
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Accepted/In Press date: 16 December 2016
e-pub ahead of print date: 26 June 2017
Published date: June 2017
Venue - Dates:
7th European Conference on Space Debris, , Darmstadt, Germany, 2017-04-18 - 2017-04-21
Identifiers
Local EPrints ID: 415636
URI: http://eprints.soton.ac.uk/id/eprint/415636
PURE UUID: 467b3acc-ecf9-4cc2-ba65-383bc94e2760
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Date deposited: 16 Nov 2017 17:30
Last modified: 16 Mar 2024 02:55
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Contributors
Author:
Gian Luigi Somma
Author:
Camilla Colombo
Editor:
T. Flohrer
Editor:
F. Schmitz
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