Optimal Scheduling of GEO On-orbit Refuelling with Uncertain Object Satellites

The mission planning of Geostationary Earth Orbit (GEO) on-orbit refuelling with uncertain object satellites is studied in this paper. Three key problems should be resolved here: Object Satellite (OSc) selection, mission sequence planning and transfer trajectory optimization. The optimization goal i...

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Bibliographic Details
Published inMATEC Web of Conferences Vol. 114; p. 3001
Main Authors Yu, Jing, Yu, Yong-gang, Huang, Jiang-tao, Chen, Xiao-qian, Liu, Hong-yang
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 01.01.2017
Subjects
Aerospace environments
Earth orbits
Mathematical models
Mission planning
Multiple objective analysis
Optimal control
Particle swarm optimization
Refueling
Satellites
Trajectory optimization
Trajectory planning
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Summary:The mission planning of Geostationary Earth Orbit (GEO) on-orbit refuelling with uncertain object satellites is studied in this paper. Three key problems should be resolved here: Object Satellite (OSc) selection, mission sequence planning and transfer trajectory optimization. The optimization goal is to select the OSc and find the optimal servicing sequence with the best optimization objective value. Three optimization objectives, i.e. fuel cost, the total number of the OScs and the sum of the OSc priority value are taken into account. Considering this mission as a hybrid optimal control problem, a mathematical model is proposed. Multi-objective particle swarm optimization is employed to address the model. Several mission scenarios are compared and discussed. Numerical experiments indicate that 1) the method developed in this paper could address the problem efficiently; and 2) OSc distribution and varieties in optimization objective emphasis have considerable influences on the optimization results.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201711403001