• DocumentCode
    3345347
  • Title

    Constrained Stochastic Tournament Selection in Flight Control Problems

  • Author

    García, Sixto E. ; Saad, Maarouf ; Akhrif, Ouassima

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Escuela Superior Politecnia del Litoral
  • Volume
    1
  • fYear
    2006
  • fDate
    9-13 July 2006
  • Firstpage
    295
  • Lastpage
    300
  • Abstract
    Engineers in some practical design engineering domains are reluctant to incorporate GAs into their procedures because of their execution time and the closeness of their results to the global optimum. Some works on the design of a fly-by-wire control system, have sought to improve the performance of GAs for the efficient and effective computation of the controller gains to ensure optimal aircraft performance over its full flight envelope. The present work reports the design of a new tournament selection method for the application of a GA to a non-constrained optimization model of the controller gains problem. The results show the advantage of the approach over the application of other GAs architectures to an unconstrained optimization model of the controller gains design problem
  • Keywords
    aircraft control; control system synthesis; genetic algorithms; optimal control; stochastic processes; constrained stochastic tournament selection method; controller gains design problem; flight control problems; fly-by-wire control system design; genetic algorithms; nonconstrained optimization model; optimal aircraft performance; Aerospace control; Aircraft; Constraint optimization; Control systems; Design engineering; Design optimization; Nonlinear dynamical systems; Optimal control; Performance gain; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2006 IEEE International Symposium on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0496-7
  • Electronic_ISBN
    1-4244-0497-5
  • Type

    conf

  • DOI
    10.1109/ISIE.2006.295609
  • Filename
    4077940