• DocumentCode
    3250272
  • Title

    Application of evolutionary computation to aircraft control law design

  • Author

    Heimes, Felix O. ; Ford, William S., II ; Land, Walker, Jr.

  • Author_Institution
    BAE SYSTEMS Controls, Johnson City, NY, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1040
  • Abstract
    Discusses an evolutionary computation (EC) approach to developing control laws for aircraft flight control systems. A generic control law structure is defined that incorporates the basic control elements that are normally used in flight control systems. A generic gain schedule algorithm is also defined that can be used to determine the gains for the control structure based on the flight conditions. These two elements are then integrated with a multiple-flight-condition linear aircraft model and an EC algorithm that searches for an optimum control law that is valid throughout the flight envelope. This approach eliminates the normal manual iterative development methodology that is used to develop aircraft control laws. It also provides a rapid prototyping capability that allows an existing flight control design to be customized for a different aircraft. Experimental results demonstrate the effectiveness of the proposed approach and compare the convergence speeds of various EC variations
  • Keywords
    aerospace computing; aircraft control; control system CAD; convergence; evolutionary computation; optimal control; software prototyping; aircraft control law design; aircraft flight control systems; control elements; convergence speed; evolutionary computation; flight conditions; flight envelope; generic control law structure; generic gain schedule algorithm; linear aircraft model; optimum control law; rapid prototyping; Aerospace control; Aircraft; Control systems; Convergence; Evolutionary computation; Iterative algorithms; Iterative methods; Processor scheduling; Prototypes; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
  • Conference_Location
    Seoul
  • Print_ISBN
    0-7803-6657-3
  • Type

    conf

  • DOI
    10.1109/CEC.2001.934306
  • Filename
    934306