Loss of Actuator Effectiveness Detection on a Quadrotor

Master Thesis (2019)
Author(s)

B.A. Strack van Schijndel (TU Delft - Aerospace Engineering)

Contributor(s)

Sihao Sun – Graduation committee member

C.C. De Visser – Mentor (TU Delft - Control & Simulation)

Faculty
Aerospace Engineering
Copyright
© 2019 Bram Strack van Schijndel
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Bram Strack van Schijndel
Graduation Date
31-10-2019
Awarding Institution
Delft University of Technology
Project
['Damaged Drone Control']
Programme
['Aerospace Engineering | Control & Simulation']
Faculty
Aerospace Engineering
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Abstract

Quadrotors lack redundancy in their actuators making actuator faults risky. One way to cope with actuator failures on quadrotors is to sacrifice yaw control and use the remaining rotors to land directly or maintain forward flight. In order to apply an appropriate control strategy, these active fault tolerant control (AFTC) methods require a quick loss of effectiveness (LOE) detection. This research presents a novel method for fast and robust detection of actuator failures on quadrotors. The proposed algorithm has very little model dependency. A Kalman estimator estimates a stochastic effectiveness factor for every actuator, using only onboard RPM, gyro and accelerometer measurements. Then, a hypothesis test identifies the failed actuator. This algorithm is validated online in real-time, also as part of an AFTC-system. LOE is induced by ejecting the propellers from the motors. The robustness of this algorithm is further investigated offline over a range of parameter settings by replaying real flight data containing 26 propeller ejections. The detection delays are found to be in the 30-130 ms range, without missed detections or false alarms ocurring.

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