• DocumentCode
    3478650
  • Title

    A fast setting method of parameters in FCS based on genetic algorithm

  • Author

    Li, Guangwen ; Jia, Qiuling ; Liu, Xiaoxiong

  • Author_Institution
    Coll. of Autom., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    1109
  • Lastpage
    1114
  • Abstract
    The performance and flying quality of the aircraft depend on its flight control system (FCS), and the parameters of the FCS are very difficult to set because the aircraft is a time-varying system and the monotone changing laws of the parameters are required. In this paper, a fast setting method of the parameter of FCS, which is based on the genetic algorithm (GA), is proposed. In this method the requirement on the parameter and the flying quality are considered. To validate the effect of this method, a simulation of a kind of aircraft, which covers a big flying envelope, is made. The result shows that parameters gotten by the given fast method are satisfied.
  • Keywords
    aircraft control; genetic algorithms; time-varying systems; aircraft; flight control system; flying quality; genetic algorithm; parameter setting; time-varying system; Aerospace control; Aircraft; Automation; Educational institutions; Genetic algorithms; Logistics; Optimization methods; Performance analysis; Robustness; Time varying systems; Aircraft; FCS; GA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262586
  • Filename
    5262586