本发明属于轨道交通控制领域,提出了一种重载群组列车轮轨黏着协同控制方法,包括:分别建立重载双编群组列车动力学模型、轨面识别模型、轮轨黏着控制模型和群组运行控制模型;将车轮的等效制动力或牵引力、轮轨法向力输入至轨面识别模型,计算出黏着系数的估计值,输入至群组运行控制模型;将黏着系数的估计值以及领航列车车速、时间、轮对角速度、跟随列车车速、时间和轮对角速度输入至轮轨黏着控制模型,计算出领航列车和跟随列车电机转矩以及跟随列车的输出逻辑判定值,输入至群组运行控制模型,进行调节控制后,得到调节控制后的领航列车和跟随列车电机转矩;将调节控制后的领航列车和跟随列车电机转矩输入至重载双编群组列车动力学模型。

    The invention belongs to the field of rail traffic control, and provides a heavy-load group train wheel-rail adhesion cooperative control method which comprises the following steps: respectively establishing a heavy-load double-compiled group train dynamic model, a rail surface recognition model, a wheel-rail adhesion control model and a group operation control model; inputting the equivalent braking force or traction force of the wheel and the normal force of the wheel rail into the rail surface recognition model, calculating an estimated value of an adhesion coefficient, and inputting the estimated value into the group operation control model; and inputting the estimated value of the adhesion coefficient, the speed, time and wheel pair angular velocity of the pilot train and the speed, time and wheel pair angular velocity of the following train into a wheel-rail adhesion control model, calculating motor torque of the pilot train and the following train and an output logic decision value of the following train, inputting the motor torque and the output logic decision value into a group operation control model, and performing adjustment control to obtain the wheel-rail adhesion coefficient. The motor torques of the pilot train and the following train after adjustment and control are obtained; and inputting the adjusted and controlled motor torques of the pilot train and the following train into the heavy-load double-compiled group train dynamical model.


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    Titel :

    一种重载群组列车轮轨黏着协同控制方法


    Erscheinungsdatum :

    13.06.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC