• DocumentCode
    3298900
  • Title

    Hypersonic vehicle wing-body joint location design optimization basing on Hybrid Genetic Algorithm

  • Author

    Weijie, Gong ; Shuo, Tang

  • Author_Institution
    Coll. of Astronaut., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    318
  • Lastpage
    322
  • Abstract
    The wing-body joint location is key step in aircraft design which has close relationship with the balancing, maneuverability and stability, hiding ability. In this paper, aiming at the wing-body joint location of quasi-waverider hypersonic vehicle, improving on the Simple Genetic Algorithms(SGA), inducting the simulated annealing algorithm (SAA), the Hybrid Genetic Algorithm (HGA) comes into being. Optimizing the wing-body joint location with the HGA, getting the Pareto optimal solution, the best configuration is recommended. Comparing with the basic model configuration, the recommended configuration improves in the balancing, maneuverability and stability, hiding ability.
  • Keywords
    Aircraft propulsion; Design optimization; Educational technology; Engines; Genetic algorithms; Pareto optimization; Simulated annealing; Space technology; Stability; Vehicles; Hybrid genetic algorithm; hypersonic vehicle; multi-objective optimization; radar cross section; wing-body joint location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Educational and Network Technology (ICENT), 2010 International Conference on
  • Conference_Location
    Qinhuangdao, China
  • Print_ISBN
    978-1-4244-7660-2
  • Electronic_ISBN
    978-1-4244-7662-6
  • Type

    conf

  • DOI
    10.1109/ICENT.2010.5532163
  • Filename
    5532163