Research on the Strategy How to Clean up Space Debris

DOI

10.2991/icemct-16.2016.230How to use a DOI?

Keywords

space debris, Simulated Annealing, Double Weibull probability distribution, Objective optimization model

Abstract

Now space debris poses a serious threat to humanities efforts at space exploration as well as the expanding uses for earth-orbiting satellites. This thesis is to determine the best alternative for a private firm to address the space debris problem. To determine the best alternative or combination of alternatives that a private firm could adopt as a commercial opportunity to address the space debris problem, we have to determine which space debris are proposed to clean. First, we construct the Space Debris Growth Model to predict the growth trend of space debris by using Least Squares and Simulated Annealing based on statistics in past years. Then, the Orbital Distribution Model of Space Debris are built to gain the space debris distribution and we simulate the space debris distribution by Double Weibull probability distribution model to find the probability of debris in diffident altitude. Next, by the aforementioned time-dependent model, we define several parameters , , to measure the cost, risks, benefits of space debris in different situations. Finally, concerned about these factors, we built objective function, which are solved by using Simulated Annealing. In this way, we obtain the best clean-up strategy, consisted of the time when to clean, the debris which to remove and the method which to choose.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bin Yang
PY  - 2016/04
DA  - 2016/04
TI  - Research on the Strategy How to Clean up Space Debris
BT  - Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)
PB  - Atlantis Press
SP  - 1054
EP  - 1057
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-16.2016.230
DO  - 10.2991/icemct-16.2016.230
ID  - Yang2016/04
ER  -