• DocumentCode
    1898621
  • Title

    Configuration Design of Common Aero Vehicle Based on Genetic Algorithm

  • Author

    Li Yongyuan ; Huang Chunping

  • Author_Institution
    Sch. of Mechatronical Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Lifting body configuration is one of the typical layouts of Common Aero Vehicle(CAV), and the multi-objective optimization design of the airframe for lifting body configuration can greatly improve the integrated performance of Common Aero Vehicle. This paper establishes a numerical modeling of reentry vehicle to calculate these performance indexes such as the aerodynamic, the aerodynamic heating, the volumetric efficiency and the stability. Multi-objective hybrid genetic algorithm is adopted to complete the aerodynamic shape optimization and design of hypersonic Common Aero Vehicle when under more variable and constrained condition in order to obtain the Pareto optimal solution of Common Aero Vehicle shape.
  • Keywords
    Pareto optimisation; aerodynamics; aerospace engineering; aircraft; design engineering; genetic algorithms; hypersonic flow; mechanical stability; vehicle dynamics; Pareto optimal solution; aerodynamic heating index; aerodynamic index; aerodynamic shape optimization; common aero vehicle; genetic algorithm; hypersonic vehicle; lifting body configuration; reentry vehicle modeling; stability index; vehicle configuration design; volumetric efficiency index; Aerodynamics; Layout; Optimization; Shape; Stability analysis; Thermal stability; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Electronic_ISBN
    2156-7379
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5678241
  • Filename
    5678241