Hybrid Approach to Optimize the Cluster Flying Orbit for Fractionated Spacecraft Based on PSO-SQP Algorithm
release_apqrn2k4tbgu7c2xt2qzadc344
by
Sheng Hui Wan, Jun Ling Song, Jian Chen, Min Hu
2013 Volume 341-342, p1144-1149
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.
In application/xml+jats
format
Archived Files and Locations
application/pdf 722.8 kB
file_7tjfieoetrcmxhkk7wqzwc6uf4
|
web.archive.org (webarchive) download.atlantis-press.com (web) |
article-journal
Stage
published
Year 2013
access all versions, variants, and formats of this works (eg, pre-prints)
Crossref Metadata (via API)
Worldcat
SHERPA/RoMEO (journal policies)
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar