The invention discloses a high-speed train optimized operation control method based on self-adaptive dynamic programming, a multi-mass-point coupling motion model of a high-speed train is established, and the influence rule of coupling coupler force on operation of adjacent vehicles is mainly clarified. Meanwhile, a particle swarm optimization algorithm with global optimization capacity is used for identifying dynamic parameters of running resistance and a coupler buffer device in the model in real time, and four indexes of tracking precision, running punctuality, running stability and running energy conservation of the train form constraint variables according to dispersion characteristics of power or braking force of the established train model, and the weight of the decision variable is adaptively adjusted according to the train operation state and the operation target, and the generalized tracking error value is re-inputted into the designed decentralized robust adaptive controller under the constraint of the optimization target function to obtain the control force output so as to realize the optimized and efficient operation of the high-speed train.

    本发明公开了一种基于自适应动态规划的高速列车优化运行控制方法,建立了高速列车的多质点耦合运动模型,主要明确了耦合车钩力对相邻车辆运行的影响规律,同时利用具有全局寻优能力的粒子群算法实时辨识模型中运行阻力与车钩缓冲器装置的动态参数,根据建立列车模型动力或制动力的分散特征,由列车的跟踪精度、运行正点、运行稳定和运行节能四个指标构成约束变量,根据列车运行状态与运行目标自适应调整决策变量的权重,在优化目标函数的约束下,将广义跟踪误差值重新输入到设计的分散鲁棒自适应控制器中,得到控制力输出,以实现高速列车的优化高效运行。


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    Title :

    High-speed train optimized operation control method based on self-adaptive dynamic programming


    Additional title:

    一种基于自适应动态规划的高速列车优化运行控制方法


    Contributors:
    JIN BAI (author) / JIANG ZHENG (author) / DU HAIBIN (author) / WANG RUI (author)

    Publication date :

    2022-01-11


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC



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