Abstract
Spacecraft mission planning can improve the collaborative work efficiency of the on-orbit servicing (OOS) spacecrafts. A chaos discrete particle swarm optimization (CDPSO) algorithm is applied according to the characteristics of multi-spacecraft collaborative mission planning problem. We design the new update formulae of position and velocity of the particles for the OOS optimization mission. By analyzing the critical index factors which contain the value of the target spacecrafts, the attrition of servicing spacecraft and consumption of time and fuel during the process of service, a mathematical model is formulated. Simulation results show that the algorithm can solve the multi-spacecraft mission planning problem under multiple constraints efficiently. It is expressive, flexible, extensible and feasible easily.
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Zhang, J., Zhang, Y., Zhang, Q. (2016). On-Orbit Servicing Mission Planning for Multi-spacecraft Using CDPSO. In: Tan, Y., Shi, Y., Li, L. (eds) Advances in Swarm Intelligence. ICSI 2016. Lecture Notes in Computer Science(), vol 9713. Springer, Cham. https://doi.org/10.1007/978-3-319-41009-8_2
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DOI: https://doi.org/10.1007/978-3-319-41009-8_2
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