• DocumentCode
    2291147
  • Title

    Novel L1 Adaptive Control Approach to Autonomous Aerial Refueling with Guaranteed Transient Performance

  • Author

    Wang, Jiang ; Cao, Chengyu ; Hovakimyan, Naira ; Lavretsky, Eugene

  • Author_Institution
    Aerosp. & Ocean Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Firstpage
    3569
  • Lastpage
    3574
  • Abstract
    Autonomous aerial refueling autopilot design is addressed in this paper using a novel L1 neural network based adaptive control approach. The main advantage of the new approach is its ability to guarantee transient performance with desired specifications for system´s both input and output signals by systematic choice of design parameters. Simulation results for a fighter aircraft model illustrate the benefits of this control approach
  • Keywords
    adaptive control; aircraft control; neurocontrollers; adaptive control; autonomous aerial refueling autopilot design; fighter aircraft model; neural network; transient performance; Adaptive control; Aerodynamics; Aerospace control; Aircraft navigation; Coordinate measuring machines; Global Positioning System; Neural networks; Probes; Programmable control; Sea measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2006
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    1-4244-0209-3
  • Electronic_ISBN
    1-4244-0210-7
  • Type

    conf

  • DOI
    10.1109/ACC.2006.1657271
  • Filename
    1657271
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2291147