• DocumentCode
    506536
  • Title

    Space vehicle orbit transfer optimization based on direct transcription and simulated annealing genetic algorithm

  • Author

    Zhang, Dingni

  • Author_Institution
    Sch. of Aerosp. Eng. & Appl. Mech., Tongji Univ., Shanghai, China
  • Volume
    1
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    599
  • Lastpage
    602
  • Abstract
    A direct numerical approach for space vehicle trajectory optimization was proposed. The direct transcription with Simpson quadrature was used for discretization of constrained optimal control problem. The genetic algorithm with simulated annealing penalty function was used for global search. The application to space vehicle orbit transfer optimization indicated that this method could improve the sensitive problem of initial guess effectively, attain to the global optimal result and avoid the appearance of ill-conditioned gradient. It is a good reference for the preliminary schematic trajectory design of space vehicle as well.
  • Keywords
    genetic algorithms; optimal control; simulated annealing; space vehicles; Simpson quadrature; constrained optimal control problem; direct numerical approach; direct transcription; penalty function; simulated annealing genetic algorithm; space vehicle orbit transfer optimization; Application software; Biological system modeling; Biology computing; Biomedical computing; Computer science; Gene expression; Genetic algorithms; Sequences; Simulated annealing; Space vehicles; direct transcription; genetic algorithm; simulated annealing; space vehicle; trajectory optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5357603
  • Filename
    5357603