This paper 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 active fault tolerant control system. Loss of actuator effectiveness 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 occurring.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fast Loss of Effectiveness Detection on a Quadrotor using Onboard Sensors and a Kalman Estimation Approach


    Contributors:


    Publication date :

    2023-06-06


    Size :

    4118778 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    State and parameter estimation of suspended load using quadrotor onboard sensors

    Prkacin, Vicko / Palunko, Ivana / Petrovic, Ivan | IEEE | 2020


    Autonomous Quadrotor Flight Despite Rotor Failure With Onboard Vision Sensors: Frames vs. Events

    Sun, Sihao / Cioffi, Giovanni / de Visser, Coen et al. | BASE | 2022

    Free access

    Bayesian Road Estimation Using Onboard Sensors

    García-Fernández, Á F | Online Contents | 2014


    Bayesian Road Estimation Using Onboard Sensors

    Garcia-Fernandez, Angel F. / Hammarstrand, Lars / Fatemi, Maryam et al. | IEEE | 2014


    Traffic sign detection, state estimation, and identification using onboard sensors

    Vu, Anh / Yang, Qichi / Farrell, Jay A. et al. | IEEE | 2013