Using genetic algorithm to solve the parameters optimization problem of space maneuver vehicle rapidly approaching sub-orbit target

Qiyu Wang, Jianping Yuan, Zhanxia Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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' 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.

Original languageEnglish
Title of host publicationSecond International Conference on Space Information Technology
DOIs
StatePublished - 2007
Event2nd International Conference on Space Information Technology - Wuhan, China
Duration: 10 Nov 200711 Nov 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6795
ISSN (Print)0277-786X

Conference

Conference2nd International Conference on Space Information Technology
Country/TerritoryChina
CityWuhan
Period10/11/0711/11/07

Keywords

  • Approach
  • Genetic algorithm
  • Optimization
  • SMV
  • Sub-orbit target

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