• DocumentCode
    175824
  • Title

    Aerodynamic optimization utilizing control theory

  • Author

    Xiaoliang Zhang ; Junqiang Bai

  • Author_Institution
    Sch. of Aeronaut., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    1293
  • Lastpage
    1298
  • Abstract
    This paper presents the method of aerodynamic optimization utilizing control theory, which is also called the adjoint method. The discrete adjoint equations are obtained from an unstructured cell-vortex finite-volume Navier-Stokes solver. The developed adjoint equations solver is verified by comparison of objective sensitivities with finite differences. An aerodynamic optimization system is developed combining the flow solver, adjoint solver, mesh deformation and a gradient-based optimizer. The surface geometry is parameterized using Free Form Deformation (FFD) method and a linear elasticity method is employed for the volume mesh deformation during optimization process. This optimization system is successfully applied to a design case of ONERA M6 transonic wing design.
  • Keywords
    Navier-Stokes equations; aerodynamics; aerospace components; computational fluid dynamics; design engineering; elasticity; finite difference methods; finite volume methods; gradient methods; mechanical engineering computing; mesh generation; optimisation; transonic flow; vortices; FFD method; ONERA M6 transonic wing design; adjoint equations solver; adjoint method; aerodynamic optimization; computational fluid dynamics; control theory; discrete adjoint equations; finite difference; flow solver; free form deformation method; gradient-based optimizer; linear elasticity method; surface geometry; unstructured cell-vortex finite-volume Navier-Stokes solver; volume mesh deformation; Aerodynamics; Equations; Geometry; Mathematical model; Optimization; Sensitivity; Vectors; Aerodynamic and Adjoint method; Control theory; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852366
  • Filename
    6852366