In this paper, artificial neural network assisted MRAS based speed estimator is presented for the poly-phase induction motor drive. The adaptive model of conventional RF-MRAS is replaced by a neural network in order to immune the system from rotor resistance variation and for the reduction of complex mathematical computational efforts. To train the network, Levenberg-Marquardt back-propagation algorithm is used. The result is simulated at different operating conditions, particularly at low speeds.


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    Titel :

    ANN based RF-MRAS speed estimation of induction motor drive at low speed


    Beteiligte:


    Erscheinungsdatum :

    2017-04-01


    Format / Umfang :

    268628 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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