• DocumentCode
    3719454
  • Title

    Two-rate neural predictive control of coaxial rotor/ducted-fan TUAV for enhanced situational awareness

  • Author

    Igor Astrov;Natalya Berezovski;Mihhail Pikkov;Vadim Kimlaychuk

  • Author_Institution
    Faculty of Information Technology, Tallinn University of Technology, Estonia
  • fYear
    2015
  • Firstpage
    127
  • Lastpage
    132
  • Abstract
    This paper focuses on a critical component of the situational awareness (SA), the control of autonomous vertical flight for tactical unmanned aerial vehicle (TUAV). With the SA strategy, we proposed a two-rate flight control procedure using two autonomous control subsystems to address the dynamics variation and performance requirement difference in initial and final stages of flight trajectory for an TUAV model with coaxial rotor and ducted fan configuration. This control strategy for chosen model of TUAV has been verified by simulation of flight maneuvers using software package Simulink and demonstrated good performance for fast stabilization of engines during flight, consequently, fast SA with economy in energy can be asserted during search-and-rescue operations.
  • Keywords
    "Rotors","Mathematical model","Control systems","Software packages","Atmospheric modeling","Unmanned aerial vehicles","Prototypes"
  • Publisher
    ieee
  • Conference_Titel
    Information Society (i-Society), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/i-Society.2015.7366873
  • Filename
    7366873