TY - GEN
T1 - Analysis of the concept of non-cooperative targets and associated tailored Active Debris Removal methods
AU - Shan, Minghe
AU - Guo, Jian
AU - Gill, Eberhard
PY - 2014
Y1 - 2014
N2 - Related to the Kessler syndrome and associated research, the number of space debris is increasing and to make the space environment stable, about 5-10 large debris objects should be removed from space each year. In most cases, space debris objects are non-cooperative targets which bring a massive challenge for capturing and de-orbiting. The objective of this paper is to critically research various levels of non-cooperativeness and define their characteristics, then assign the ADR (Active Debris Removal) methods to the different debris objects. We have grouped non-cooperativeness in terms of knowledge and capturability. Lack of knowledge leading to non-cooperativeness can be due to orbit and attitude information, physical properties, such as moments of inertia, or size, shape and surface properties. Non-cooperativeness in terms of capturability can be related to, e.g., possible docking locations, known but high spin rates or tumbling. Following such a classification, we have mapped existing ADR methods to those classes of non-cooperativeness. We analyzed the usability of classification. The results not only allowed us to show the usability of out metrics, but also enable us to propose so-far unexpected approaches for ADR. Details of the results are presented in the paper.
AB - Related to the Kessler syndrome and associated research, the number of space debris is increasing and to make the space environment stable, about 5-10 large debris objects should be removed from space each year. In most cases, space debris objects are non-cooperative targets which bring a massive challenge for capturing and de-orbiting. The objective of this paper is to critically research various levels of non-cooperativeness and define their characteristics, then assign the ADR (Active Debris Removal) methods to the different debris objects. We have grouped non-cooperativeness in terms of knowledge and capturability. Lack of knowledge leading to non-cooperativeness can be due to orbit and attitude information, physical properties, such as moments of inertia, or size, shape and surface properties. Non-cooperativeness in terms of capturability can be related to, e.g., possible docking locations, known but high spin rates or tumbling. Following such a classification, we have mapped existing ADR methods to those classes of non-cooperativeness. We analyzed the usability of classification. The results not only allowed us to show the usability of out metrics, but also enable us to propose so-far unexpected approaches for ADR. Details of the results are presented in the paper.
UR - http://www.scopus.com/inward/record.url?scp=84937877412&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84937877412
T3 - Proceedings of the International Astronautical Congress, IAC
SP - 1521
EP - 1530
BT - 65th International Astronautical Congress 2014, IAC 2014
PB - International Astronautical Federation, IAF
T2 - 65th International Astronautical Congress 2014: Our World Needs Space, IAC 2014
Y2 - 29 September 2014 through 3 October 2014
ER -