• DocumentCode
    119737
  • Title

    Comparison of classical and modern landing control system for a small unmanned aerial vehicle

  • Author

    Nugroho, Larasmoyo

  • Author_Institution
    Aerosp. Eng. Dept., Middle East Tech. Univ., Ankara, Turkey
  • fYear
    2014
  • fDate
    21-23 Oct. 2014
  • Firstpage
    187
  • Lastpage
    192
  • Abstract
    Research presented in the following paper contrasted the modern optimal robust control method with classical one, applied for a landing control system of a small unmanned aerial vehicle. Philosophically speaking, the optimal control used H2 method meets excellent dynamic performance, while the robustness given by the H method diminish the effect of disturbance to the performance output. Accordingly, implemented mixed H2/H optimal robust control method in this paper appear to meet a balancing result between performance and robustness stability. Three phases of flight, level flight, descent and flare used both classical and modern control system to stabilize and track the desired trajectory, which is exposed heavily to the presence of wind disturbance and ground effect. PID with fuzzy logic approach is employed to switch autopilot between the flight phases. Linear matrix inequality (LMI) approach is clearly suited to find the balanced H2/H gain. To sum up, all results simulated in linearized model (Simulink-Flight Gear), strengthened with non-linear model flight simulation (X-Plane). The optimal robust landing control system delivers the performance and stability superior than classical controller one as expected.
  • Keywords
    H control; H2 control; aerospace simulation; aircraft landing guidance; autonomous aerial vehicles; fuzzy control; linear matrix inequalities; linearisation techniques; nonlinear control systems; robust control; three-term control; H∞ method; H2 method; H2/H∞ optimal robust control method; LMI approach; PID; Simulink-flight gear; autopilot; balanced H2/H∞ gain; classical landing control system; descent fligh; dynamic performance; flare flight; flight phase; fuzzy logic approach; ground effect; level flight; linear matrix inequality approach; linearized model; modern landing control system; modern optimal robust control method; nonlinear model flight simulation; optimal control; optimal robust landing control system; robustness stability; trajectory tracking; unmanned aerial vehicle; wind disturbance; Aircraft; Atmospheric modeling; Elevators; Equations; Gears; Mathematical model; Robustness; Ardupilot-Xplane; Auto Landing; Mixed H2/H; PID; Robust Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Control, Informatics and Its Applications (IC3INA), 2014 International Conference on
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4799-4577-1
  • Type

    conf

  • DOI
    10.1109/IC3INA.2014.7042625
  • Filename
    7042625