33th Congress of the International Council of the Aeronautical Sciences

06.2 - Flight Dynamics and Control (UAV related)

PREFLIGHT DIAGNOSIS OF MULTICOPTER ACTUATOR FAULT USING SUPERVISED LEARNING WITH DISTURBANCE OBSERVER OUTPUTS

T.G. Kim╣, Y.J. Kim╣, S.K. Kim╣; ╣Chungnam National University, South Korea

This study proposes a preflight diagnosis method using disturbance observer outputs for health condition monitoring of multicopter actuators faults. While operating multicopters, determining whether it can perform the flight mission or not is essential. For this reason, we use the disturbance observer's output as a feature for diagnose of the fault.


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