• DocumentCode
    2831805
  • Title

    Evolutionary Algorithms in Aircraft Trim Optimization

  • Author

    Tupy, Jaroslav ; Zelinka, Ivan

  • Author_Institution
    Dept. of Appl. Inf., Tomas Bata Univ. in Zlin, Zlin
  • fYear
    2008
  • fDate
    1-5 Sept. 2008
  • Firstpage
    524
  • Lastpage
    530
  • Abstract
    In this paper, the calculation of aircraft trimming process is presented in a sufficiently understandable way using a unique combination of global optimization theory and the direct hand-on computer simulation. The methods of artificial intelligence and heuristic algorithms handling with the equations of airplane motion are presented in this paper. The main aim was to use them for trimming the flying aircraft to the steady state flight upon setting the flight conditions of various kinds. New approach of SOMA (self organizing migrating algorithm) has been used here to find the vehicle equilibrium state. The method can be practically utilized in construction of airplanes as well as the flight simulators design.
  • Keywords
    aerospace computing; aerospace simulation; aircraft; artificial intelligence; digital simulation; evolutionary computation; aircraft trim optimization; airplane motion; artificial intelligence; direct hand-on computer simulation; evolutionary algorithms; flight simulators design; global optimization theory; heuristic algorithms handling; self organizing migrating algorithm; vehicle equilibrium state; Aircraft manufacture; Airplanes; Artificial intelligence; Computer simulation; Equations; Evolutionary computation; Heuristic algorithms; Organizing; Steady-state; Vehicles; DE; Evolutionary algorithms; SOMA; aircraft trim optimization; steady state flight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Application, 2008. DEXA '08. 19th International Workshop on
  • Conference_Location
    Turin
  • ISSN
    1529-4188
  • Print_ISBN
    978-0-7695-3299-8
  • Type

    conf

  • DOI
    10.1109/DEXA.2008.98
  • Filename
    4624770