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Proceedings Paper

Using genetic algorithm to solve the parameters optimization problem of space maneuver vehicle rapidly approaching sub-orbit target
Author(s): Qiyu Wang; Jianping Yuan; Zhanxia Zhu
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Paper Abstract

In this paper, we research a convenient method and its mathematics model of using space maneuver vehicle (SMV) rapidly approach sub-orbit target. For minimizing the velocity impulse needs by the transfer orbit, an object function is set up. Then we use a genetic algorithm toolbox GAOT to get the optimal result of this object function. Last, we simulate the two situations; including the SMV's orbit parameters are known or unknown. These simulation results show that this method can be used to find the rapidly approaching orbit which needs the minimal velocity impulse.

Paper Details

Date Published: 10 November 2007
PDF: 6 pages
Proc. SPIE 6795, Second International Conference on Space Information Technology, 67955O (10 November 2007); doi: 10.1117/12.775023
Show Author Affiliations
Qiyu Wang, Northwestern Polytechnical Univ. (China)
Jianping Yuan, Northwestern Polytechnical Univ. (China)
Zhanxia Zhu, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 6795:
Second International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Jiaolong Wei, Editor(s)

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