Abstract In the paper, an analysis is made of the stator current sensor fault detector based on artificial neural network for vector controlled induction motor drive system. The systems with different learning algorithms and structures are analyzed and tested in different drive conditions. Simulation results are ob-tained in direct torque control algorithm (DTC-SVM) and performed in MATLAB/SimPowerSystem software.


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    Title :

    An Artificial Neural Networks Approach to Stator Current Sensor Faults Detection for DTC-SVM Structure


    Contributors:

    Published in:

    Publication date :

    2016




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English


    Classification :

    BKL:    53.35 Stromrichter, Transformatoren / 53.35$jStromrichter$jTransformatoren / 53.33 Elektrische Maschinen und Antriebe / 53.33$jElektrische Maschinen und Antriebe



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