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
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;
Conference_Titel :
Computer, Control, Informatics and Its Applications (IC3INA), 2014 International Conference on
Conference_Location :
Bandung
Print_ISBN :
978-1-4799-4577-1
DOI :
10.1109/IC3INA.2014.7042625