• DocumentCode
    183989
  • Title

    Modified State Observer based adaptive control law design for the Black Kite MAV

  • Author

    Pappu, Venkatasubramani S. R. ; Steck, James E. ; Shanmugham, Viswanathan ; Ramamurthi, Guruganesh

  • Author_Institution
    Wichita State Univ., Wichita, KS, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    32
  • Lastpage
    37
  • Abstract
    This paper presents the design and simulation of a Modified State Observer (MSO) based adaptive control law, developed by Balakrishnan, for a Micro Aerial Vehicle (MAV). The MSO allows higher adaptive gains than other adaptive control laws. The simulation is carried out using the aerodynamic derivatives of the Black Kite 300 mm wing span MAV developed by CSIR-NAL Bangalore. The controller is tested in simulation for its ability to adapt to modeling errors for the highly responsive MAV. At present, the study is limited to the longitudinal dynamics of the vehicle. Simulation results are presented that show the controller´s ability to respond to altitude and airspeed commands with elevator and engine failures in the presence of parameter uncertainties. The MSO adaptation along with the nonlinear dynamic inversion controller developed using the mathematical model of the MAV, enables the pilot to control the vehicle with a lower workload.
  • Keywords
    adaptive control; aircraft control; control system synthesis; observers; vehicle dynamics; Black Kite MAV; CSIR-NAL Bangalore; MSO; adaptive control law design; adaptive gain; aerodynamic derivatives; micro aerial vehicle; modified state observer; nonlinear dynamic inversion controller; vehicle longitudinal dynamics; Adaptation models; Aerodynamics; Aerospace control; Aircraft; Atmospheric modeling; Mathematical model; Vehicle dynamics; Aerospace; Direct adaptive control; Flight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6858881
  • Filename
    6858881