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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    Title :

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


    Contributors:
    Qing, Hu (author) / Li, Hongxia (author) / Yu, Hiayan (author) / Xin, Zhang (author)


    Publication date :

    2009


    Size :

    4 Seiten, 5 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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