Hybrid Approach to Optimize the Cluster Flying Orbit for Fractionated Spacecraft Based on PSO-SQP Algorithm

DOI

10.2991/icsem.2013.16How to use a DOI?

Keywords

Fractionated spacecraft, Cluster flying orbit, Relative orbital elements, Particle swarm optimization, Sequential quadratic programming.

Abstract

This template This paper investigates the optimal cluster flight orbit design issue for the fractionated spacecraft according to three main goals: keeping the cluster as stable as possible, preventing the collisions within the cluster, maintaining the inter-satellite distance within the maximum region. Firstly, the relative orbital elements are adopted to describe the relative motion. Then, the formation design requirements are formulated in terms of the relative orbital elements, the constrained optimization problem is solved using the hybrid particle swarm optimization algorithm integrated with sequential quadratic programming local search. The simulation results show that the hybrid PSO-SQP algorithm is effective.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shenghui Wan
AU  - Junling Song
AU  - Jian Chen
AU  - Min Hu
PY  - 2013/04
DA  - 2013/04
TI  - Hybrid Approach to Optimize the Cluster Flying Orbit for Fractionated Spacecraft Based on PSO-SQP Algorithm
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 78
EP  - 83
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.16
DO  - 10.2991/icsem.2013.16
ID  - Wan2013/04
ER  -