Adaptive control method for communication coordinated operation of full-length and short-turn routing
To aim at the problem of mismatch between train transportation capacity and spatial and temporal distribution of passenger flow,a flexible train marshalling scheme and a short-marshalling small-interval adaptive control method were proposed.Firstly,according to the characteristics of the new train control system,the adaptive closed-loop control framework of the train was designed.The minimum tracking interval model of the train is constructed.The marshalling scheme of full-length and short-turn routing trains operating together in short-turn routing communication was proposed.Secondly,according to the requirements of short-marshalling and small-interval control of train marshalling scheme,a train adaptive control model was designed based on Deep Deterministic Policy Gradient(DDPG)algorithm,in which the multi-objective control of train was realized by setting the reward function.The optimal control strategy of train was output by designing a neural network.Then,using the Matlab/Simulink simulation platform,taking the 2A-2A train communication coordinated operation of Shanghai Metro Line 2 as an example,the tracking interval was set to 10 s,and the train adaptive control model with random resistance disturbance was built and trained.The simulation results are as follows.The train stopping error is 0.1 m,the punctuality error is 0.2 s,the coordinated speed difference is less than 2 km/h,and the minimum tracking interval between the interval is 180.6m,which meets the requirements of precise stopping,speed coordination and interval safety of the train.Aiming at the problem of train speed fluctuation caused by excessive valuation of DDPG algorithm,the Critic network in the neural network is improved.The training simulation after improvement shows that the train stopping error is 0.03 m,the punctuality error is 0.1 s,the coordinated speed difference is less than 2 km/h,the minimum tracking interval between the interval is 181.1 m,the precise stopping and interval safety of the train are improved,and the speed fluctuation is relatively stable.In order to verify the real-time and safety of the control method,assuming that the front train decelerates and stops in an unexpected situation,the simulation yields:the rear train stopping error is 1.3 s and the stopping interval is 220.8 m,which meets the requirements of real-time and safety.The research results can provide a flexible marshalling scheme for urban rail transit to match the passenger flow,and provide a safe and efficient adaptive control method for the short-marshalling and small-interval operation of the new train control system.
new train control systemfull-length and short-turn routingcoordinated operationDDPG algorithmadaptive control
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维普
