The invention relates to the technical field of maglev trains, and discloses a brake control method, device and equipment for a maglev train and a storage medium. The method comprises the following steps: acquiring a current running state and a current braking instruction of the maglev train; inputting the current running state and the current braking instruction into an established target magnetic-levitation train dynamic model, and obtaining a predicted running state output by the target magnetic-levitation train dynamic model; and through the established train braking model, the braking force of the train is obtained according to the predicted running state, and braking control over the maglev train is achieved according to the braking force of the train. According to the scheme of the embodiment, the target maglev train dynamic model is established based on the long-short-term memory network to predict the running state of the next moment, the required braking force is determined through the established train braking model according to the predicted running state, and the braking force of the target maglev train can be determined under the complex running environment change. Accurate and stable braking control over the maglev train is achieved.
本发明涉及磁悬浮列车技术领域,公开了一种磁浮列车的制动控制方法、装置、设备及存储介质。该方法包括:通过获取磁浮列车的当前运行状态和当前制动指令;将当前运行状态和当前制动指令输入至建立的目标磁浮列车动态模型,并获取目标磁浮列车动态模型输出的预测运行状态;通过建立的列车制动模型,根据预测运行状态,获取列车制动力,并根据列车制动力实现对磁浮列车的制动控制。本实施例的方案,通过基于长短期记忆网络建立目标磁浮列车动态模型,以预测得到下一时刻的运行状态,并通过建立的列车制动模型,根据预测得到的运行状态,确定所需的制动力,可以在复杂运行环境变化下,实现对磁悬浮列车精确和平稳的制动控制。
Brake control method, device and equipment for maglev train and storage medium
磁浮列车的制动控制方法、装置、设备及存储介质
2024-04-05
Patent
Electronic Resource
Chinese
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