• DocumentCode
    477570
  • Title

    Application of Intelligent Computation to Promote the Automation of Flight Control Design

  • Author

    Ming-Tao Zhang ; Jin-wen An

  • Author_Institution
    Coll. of Autom., Northwestern Polytech. Univ., Xi´an
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    991
  • Lastpage
    994
  • Abstract
    As the systems to be controlled are becoming more and more complex, more difficulties arise when trying to get excellent performance. In the grand trend of multi-subjects amalgamation, intelligent computation is widely applied to optimize controller parameters. Intelligent computation being inspired from biology evolution, which has formed their own ingenious structures through a long period, is suitable to settle complex problems and to realize intelligent control. Intelligent computation is applied to conventional control designs to improve them. At present practical flight control design makes use of conventional methods, which are characterized as linearization of nonlinear problems. In the conventional flight control design, there is heavy work of controller parameter tuning. Intelligent computation is applied to optimize the controller parameters and farther on to realize the automation of controller parameter tuning. It can save designers a lot of energy and better results can be obtained.
  • Keywords
    aerospace control; control engineering computing; control system synthesis; intelligent control; linearisation techniques; tuning; controller parameter tuning; flight control design; intelligent computation; intelligent control; linearization; multi-subjects amalgamation; Aerospace control; Automatic control; Biology computing; Computer applications; Control design; Control systems; Design automation; Evolution (biology); Intelligent control; Intelligent structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.364
  • Filename
    4659637