A novel technique named Signal Analysis based on Chaos using Density of Maxima (SAC-DM) is presented to analyze Brushless Direct Current (BLDC) motors behavior. These motors are vastly used in electric vehicles, especially in Drones. The proposed approach is compared with the traditional Fast-Fourier Transform (FFT) and the experiments analyzing a BLDC motor of a drone demonstrates similar results but computationally simpler than that. The main contribution of this technique is the possibility to analyze signals in time domain, instead of the frequency domain. It is possible to identify working and faulty behavior with less computational resources than the traditional approach.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    A Novel Approach for Brushless DC Motors Characterization in Drones Based on Chaos




    Erscheinungsdatum :

    2018




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Brushless Dc Motors

    Baker, D. | NTRS | 1965


    Brushless motors and controllers

    Büchi, Roland | TIBKAT | 2012


    Motor drivers for dc brushless motors

    Ward, G. L. / Nafus, D. | NTRS | 1971


    Permanent-magnet and brushless DC Motors

    Kenjō, Takashi | TIBKAT | 1985