The invention discloses a model predictive control-based train operation adjustment method in a disturbance scene, which comprises the following steps of: S1, according to a planned working diagram, adjusting a train operation strategy based on the disturbance scene, and constructing a train operation dynamic model; s2, taking the punctuality of the train and the regularity of the operation interval as objective functions, taking the operation interval and the control quantity of the train as constraint conditions, and according to the train operation dynamic model in the step S1, constructing an optimal control problem model based on the minimum time deviation between the actual operation of the train and the planned operation diagram; s3, solving the optimal control problem model in the step S2 by adopting a model predictive control method, obtaining an optimal control input vector, and adjusting the running state of the train according to the optimal control input vector; according to the train adjustment method provided by the invention, the train operation time and the station dwell time are adjusted by obtaining the optimal control input, so that the adjusted operation diagram is close to the planned operation diagram as much as possible, and the automatic adjustment speed of train operation is improved.
本发明公开了一种扰动场景下基于模型预测控制的列车运行调整方法,包括以下步骤:S1、根据计划运行图,基于扰动场景调整列车运行策略,构建列车运行动态模型;S2、以列车的准时性和运行间隔的规律性作为目标函数,以列车运行间隔与控制量作为约束条件,并根据步骤S1中列车运行动态模型,构建基于最小化列车实际运行与计划运行图时间偏差的最优控制问题模型;S3、采用模型预测控制方法求解步骤S2中最优控制问题模型,获取最优控制输入向量,并根据最优控制输入向量调整列车运行状态;本发明所提出的列车调整方法,通过获取最优的控制输入,来调整列车运行时间和停站时间,使调整后的运行图尽可能接近计划运行图,从而提高列车运行自动调整的速度。
Train operation adjusting method based on model predictive control in disturbance scene
一种扰动场景下基于模型预测控制的列车运行调整方法
2023-11-10
Patent
Electronic Resource
Chinese
IPC: | B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC |
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