The driving and braking force of electric locomotives depend on the adhesion force between rail and wheel. The characteristics of adhesion are strongly affected by environment, the conditions between rail and wheel, the design and operation of the locomotive. The adhesion force between rail and wheel has severe nonlinearity and uncertainties. It is very important to realize optimal adhesion control in railway field. In this paper the characteristics of the re-adhesion phenomenon in locomotive traction system were analyzed. The simulation model based on those characteristics was developed. A re-adhesion control method of locomotives based on cloud model and wavelet analysis was proposed. Simulation results show that slips will be suppressed effectively and optimized re-adhesion control can be realized.


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    Titel :

    Optimized Adhesion Control of Electric Locomotives Based on Wavelet Analysis and Cloud Model


    Beteiligte:
    Huang, Jingchun (Autor:in) / Xiao, Jian (Autor:in) / Bai, Yi-feng (Autor:in) / Liao, Shuang-qing (Autor:in)

    Kongress:

    First International Conference on Transportation Engineering ; 2007 ; Southwest Jiaotong University, Chengdu, China



    Erscheinungsdatum :

    2007-07-09




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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