Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

An Algorithm for Calculating Collision Probability of Spacecraft and Short-term Debris Cloud Based on Binomial Distribution

Authors
Yue Qi, Jiazhe Lai, Yiyong Li, Qichen Tian
Corresponding Author
Yue Qi
Available Online May 2017.
DOI
https://doi.org/10.2991/icmeit-17.2017.26How to use a DOI?
Keywords
spacecraft; space collision; debris cloud; collision probability.
Abstract
This paper introduces the calculation process of collision probability between spacecraft and short-term debris cloud. On the base of the time integral method about collision probability calculation, the time required for the spacecraft to travel through the debris cloud by the way of "risk radius"; On the base of "quasi mean probability" and the form of binomial distribution, reestablished the mathematical expression for calculating the spacecraft and space debris collision probability, which is more consistent with the actual situation. Finally, by sample analysis, the rationality of the analytical method is validated.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Part of series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
978-94-6252-338-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-17.2017.26How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yue Qi
AU  - Jiazhe Lai
AU  - Yiyong Li
AU  - Qichen Tian
PY  - 2017/05
DA  - 2017/05
TI  - An Algorithm for Calculating Collision Probability of Spacecraft and Short-term Debris Cloud Based on Binomial Distribution
BT  - 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.26
DO  - https://doi.org/10.2991/icmeit-17.2017.26
ID  - Qi2017/05
ER  -