A maximal-reward preliminary planning for multi-debris active removal mission in LEO with a greedy heuristic method

• Published in: Acta astronautica Vol. 149; pp. 123 - 142
• Main Authors: Yang, Jianan, Hu, Yu Hen, Liu, Yong, Pan, Quan
• Format: Journal Article
• Language: English
• Published: Elmsford Elsevier Ltd 01.08.2018; Elsevier BV
• Subjects: Algorithms; Cloud computing; Combinatorial analysis; Computing time; Cost estimates; Deorbiting; Drift; Earth orbits; Greedy heuristic algorithm; Heuristic methods; Low earth orbit; Low earth orbits; Maximal-reward optimization model; Mission planning; Multi-debris active removal; Nanosatellites; Optimization; Planning; Satellites; Space debris; Space exploration; Multi-debris active removal; Greedy heuristic algorithm; Maximal-reward optimization model; Low earth orbit

An active multi-debris removal mission planning algorithm for low Earth orbit (LEO) debris removal is presented. We assume that a space platform carrying multiple debris-deorbiting nano-satellites will be launched to carry out the debris-removal mission. This platform travels from one debris object...