This paper deals with a neural network based direct torque control (DTC) of an induction motor (IM) for Electric Vehicle (EV) propulsion system. In this scheme the traditional switching lookup table is replaced with a multi-layer neural network. The complete Neural Network (NN) based DTC scheme of IM drive is simulated using MATLAB. The obtained results demonstrate the effectiveness of the NN based DTC scheme of IM drive. The proposed NN based DTC scheme reduces torque and current ripples to a great extent in IM drive.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Neural Network Based DTC IM Drive for Electric Vehicle Propulsion System


    Beteiligte:
    Singh, Bhim (Autor:in) / Jain, Pradeep (Autor:in) / Mittal, A.P. (Autor:in) / Gupta, J.R.P. (Autor:in)


    Erscheinungsdatum :

    01.12.2006


    Format / Umfang :

    523424 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Electric vehicle propulsion system with fuzzy-logic-based DTC IPMSM drive

    Jain, P. / Singh, B. / Mittal, A.P. et al. | British Library Online Contents | 2008


    Electric vehicle propulsion system with fuzzy-logic-based DTC IPMSM drive

    Jain, Pradeep / Singh, Bhim / Mittal, Alok Prakash et al. | British Library Online Contents | 2008


    ELECTRIC VEHICLE PROPULSION SYSTEM

    MARECHAL OLIVIER / COUTURIER BENOIT | Europäisches Patentamt | 2021

    Freier Zugriff

    Electric vehicle propulsion system

    MARECHAL OLIVIER / COUTURIER BENOIT | Europäisches Patentamt | 2023

    Freier Zugriff

    Electric vehicle propulsion system

    Eaton Engng.and Res.Cent.,Michigan,US | Kraftfahrwesen | 1981