本发明涉及一种用于训练轨道车辆的控制装置的方法,所述方法包括:‑提供基于轨道车辆的传感器数据的训练数据;‑基于训练数据在轨道车辆的驱动器的控制与所产生的轨道车辆的速度之间的关系方面训练轨道车辆的代理模型;‑基于训练数据和代理模型,在利用机器学习并且考虑到至少一个客观控制目标的情况下训练动作选择规则,其中,动作选择规则包括用于控制轨道车辆的驱动器的控制指令,控制指令设置用于将轨道车辆从第一速度状态加速至第二速度状态;并且‑生成经训练的动作选择规则,其中,经训练的动作选择规则包括设置用于加速轨道车辆并且满足控制目标的控制指令。本发明还涉及一种相应地经训练的控制装置和具有控制装置的轨道车辆。
Abstract Method for training a controller for a rail vehicle, controller and rail vehicle The invention relates to a method (100) for training a controller (200) of a rail vehicle (201) including: - providing (101) training data (203) based on sensor data for a rail vehicle (201); - training (103) a surrogate model (205) of the rail vehicle (201) based on the training data (203) with respect to a relationship between an actuation of a drive (207) of the rail vehicle (201) and a resulting speed of the rail vehicle (201); - training (105) an action selection rule (209) based on the training data (203) and the surrogate model (205) using machine learning and taking into account at least one objective control target (211), wherein the action selection rule (209) includes control instructions for actuating the drive (207) of the rail vehicle (201) configured to accelerate the rail vehicle (201) from a first speed state into a second speed state; and - generating (107) a trained action selection rule (213), wherein the trained action selection rule (213) includes control instructions configured to accelerate the rail vehicle (201) and to meet the control target (211). The invention further relates to a correspondingly trained controller (200) and a rail vehicle (201) with a controller (200). (FIG 1) 203 217 219 221 101 1w _ _ 103 l 205 211 109 105 209
用于训练轨道车辆的控制装置的方法、控制装置和轨道车辆
2024-06-14
Patent
Elektronische Ressource
Chinesisch
IPC: | B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC |