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%.
space debris
Somma, Gian Luigi
fe2f9516-1fdb-4b9b-a4ce-7b6a7e60b49a
Colombo, Camilla
595ced96-9494-40f2-9763-ad4a0f96bc86
Lewis, Hugh
e9048cd8-c188-49cb-8e2a-45f6b316336a
April 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.
7th European Conference on Space Debris, , Darmstadt, Germany.
18 - 21 Apr 2017.
Record type:
Conference or Workshop Item
(Poster)
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%.
Text
A Statistical LEO Model to Investigate Adaptable Debris Control Strategies (v07_A1)
- Version of Record
More information
Accepted/In Press date: 15 December 2016
Published date: April 2017
Additional Information:
Associated publications:
Somma, G. L., Lewis, H., & Colombo, C. (2016). Adaptive remediation of the space debris environment using feedback control. Paper presented at 67th International Astronautical Congress (IAC), Mexico.
Somma, G. L., Colombo, C., & Lewis, H. (2017). A statistical LEO model to investigate adaptable debris control strategies. In T. Flohrer, & F. Schmitz (Eds.), Proceedings 7th European Conference on Space Debris, Darmstadt, Germany, 18–21 April 2017,. European Space Agency (ESA).
Venue - Dates:
7th European Conference on Space Debris, , Darmstadt, Germany, 2017-04-18 - 2017-04-21
Keywords:
space debris
Identifiers
Local EPrints ID: 415108
URI: http://eprints.soton.ac.uk/id/eprint/415108
PURE UUID: 26f7c0f9-7176-4ab0-b1d6-1d205ffa053d
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Date deposited: 30 Oct 2017 17:30
Last modified: 16 Mar 2024 02:55
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Contributors
Author:
Gian Luigi Somma
Author:
Camilla Colombo
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