• DocumentCode
    674194
  • Title

    Evolution assisted flight control system design

  • Author

    Chudy, P. ; Vlk, Jan ; Dittrich, P.

  • Author_Institution
    Brno Univ. of Technol., Brno, Czech Republic
  • fYear
    2013
  • fDate
    5-10 Oct. 2013
  • Abstract
    An evolution driven controller design approach has been applied to a rigid-body aircraft model of a light sport aircraft. The model comprises inertial, aerodynamic and flight dynamics related elements and the controller architecture is based on Classical Control Theory. The evolution driven concept plays a significant role in the optimization of the proposed controller structure by providing tuned controller parameters, which meet the designed fitness function criteria imposed through the optimization problem formulation. The proposed fitness function combines significant controller stability evaluation conditions into a single abstraction. The use of a robust optimization framework based on the genetic algorithms has allowed the suggested form of multi-criteria optimization definition. The suitability of the evolutionary optimization has been successfully tested on a model with rigid-body aircraft dynamics. Time-domain simulation results have shown the compliance of the tuned controller performance with its anticipated behavior.
  • Keywords
    aerodynamics; aerospace control; genetic algorithms; vehicle dynamics; -body aircraft model; aerodynamic; classical control theory; controller architecture; controller stability evaluation conditions; controller structure; evolution assisted flight control system design; evolution driven controller design approach; evolutionary optimization; fitness function; fitness function criteria; flight dynamics; genetic algorithms; light sport aircraft; multicriteria optimization definition; optimization problem formulation; rigid-body aircraft dynamics; robust optimization framework; time-domain simulation; tuned controller parameters; Aerospace control; Aircraft; Atmospheric modeling; Equations; Mathematical model; Optimization; Sociology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference (DASC), 2013 IEEE/AIAA 32nd
  • Conference_Location
    East Syracuse, NY
  • ISSN
    2155-7195
  • Print_ISBN
    978-1-4799-1536-1
  • Type

    conf

  • DOI
    10.1109/DASC.2013.6712641
  • Filename
    6712641