Abstract Single catenary system model and three-dimensional mass model of pantograph system were established, and kinetic equation was given in this paper. NARMA-L2 neural network model was introduced and applied to the pantograph–catenary vibration control system, and an active control proposal was designed. Simulation research was done as to the effect of controller for speed of 200 km h−1, 250 km h−1, and 300 km h−1. Also the simulation gets pantograph–catenary contact force and pantograph uplift curve, simulation data were analyzed from four aspects maximum, minimum, average, and standard deviation. Comparative results show that compared with the control without NARMA-L2 model, standard deviation of pantograph–catenary contact force and pantograph uplift is lower much at the set speed. Therefore, pantograph vibration control system based on NARMA-L2 neural network can greatly reduce the vibration amplitude of pantograph–catenary and enhanced pantograph–catenary coupling, thus achieved more stable pantograph–catenary contact and better current collection.


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    Title :

    Research of Pantograph–Catenary Active Vibration Control System Based on NARMA-L2 Model


    Contributors:
    Liu, Shibing (author) / Wu, Lei (author) / Zhu, Xuelong (author)


    Edition :

    1st ed. 2016


    Publication date :

    2016-01-01


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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