In order to improve the tracking and robust performances of a linear elevator driving by permanent magnet linear synchronous motor (PMLSM), a stable neural network sliding mode controller (NN-SMC) for a linear motor speed loop control is proposed. The neural network control is highly efficient for some large data sets via self-organizing, learning, and forgetting. Analysis of simulations reveals that proposed method is robust in the presence of uncertainties and bounded external disturbances.


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    Titel :

    Neural network sliding mode controller for linear elevator using permanent magnet linear synchronous motor


    Beteiligte:
    Qing, Hu (Autor:in) / Li, Hongxia (Autor:in) / Yu, Hiayan (Autor:in) / Xin, Zhang (Autor:in)


    Erscheinungsdatum :

    2009


    Format / Umfang :

    4 Seiten, 5 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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