This paper proposes a linear parameter varying proportional integral unknown input observer (PI-UIO) for the diagnosis of actuator faults and icing in unmanned aerial vehicles. It is shown that in presence of sensor noise, the proposed PI-UIO has the advantage of being affected by the noise, but not by its derivative. Another contribution of the paper is the introduction of an icing to wind/noise ratio, which allows performing an optimal tuning of some PI-UIO design parameters. Results obtained with a Zagi Flying Wing simulator are used to validate the effectiveness of the proposed approach. ; Peer Reviewed ; Postprint (author's final draft)


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    Title :

    Detection of icing and actuators faults in the longitudinal dynamics of small UAVs using an LPV proportional integral unknown input observer



    Publication date :

    2016-01-01



    Type of media :

    Miscellaneous


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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