• DocumentCode
    597805
  • Title

    Three-rate neural control of TUAV with coaxial rotor and ducted fan configuration for enhanced situational awareness

  • Author

    Astrov, I. ; Pedai, A.

  • Author_Institution
    Dept. of Comput. Control, Tallinn Univ. of Technol., Tallinn, Estonia
  • fYear
    2012
  • fDate
    26-29 Nov. 2012
  • Firstpage
    78
  • Lastpage
    83
  • Abstract
    This paper describes a critical component of the situational awareness (SA), the control of tactical unmanned aerial vehicle (TUAV) during autonomous flight operations. With the SA strategy, we proposed a three-rate flight control procedure using three autonomous decomposed control subsystems with single NARMA-L2 controller for an unmanned helicopter model with coaxial rotor and ducted fan configuration. This strategy for chosen model of TUAV has been verified by simulation of flight tests using Simulink environment and demonstrated valuable qualities for fast stabilization of TUAV´s engines during flight, consequently, fast SA with economy in energy can be asserted during possible missions.
  • Keywords
    aerospace simulation; autonomous aerial vehicles; control engineering computing; helicopters; neurocontrollers; stability; SA strategy; Simulink; TUAV; TUAV engines stabilization; autonomous decomposed control subsystems; autonomous flight operations; coaxial rotor; ducted fan configuration; enhanced situational awareness; flight tests simulation; single NARMA-L2 controller; tactical unmanned aerial vehicle; three-rate flight control procedure; three-rate neural control; unmanned helicopter model; Autoregressive processes; Control systems; Equations; Helicopters; Mathematical model; Rotors; Software packages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Information Sciences (ICCAIS), 2012 International Conference on
  • Conference_Location
    Ho Chi Minh City
  • Print_ISBN
    978-1-4673-0812-0
  • Type

    conf

  • DOI
    10.1109/ICCAIS.2012.6466634
  • Filename
    6466634