Optimization And Modeling Analysis Of High-speed Flying Train Operational Control System

The High-speed Flying Train is a transportation system that uses a low vacuum environment and supersonic shape to reduce air resistance,and uses magnetic levitation to reduce frictional resistance to achieve supersonic operation.The High-speed Flying Train designed to reach speeds of up to 1,000～4,000km/h,has the advantages of efficient,economic and environment-friendly.Hence,it has attracted much attention and is promising to become a new form of transportation.Because the speed of the High-speed Flying Train is much higher than that of existing railway system,existing operation control system can not be fully applied to the High-speed Flying Train.Therefore,it is necessary to analyze the requirements of the control system of the High-speed Flying Train according to its characteristics.And in order to address shortcomings of existing train operation system,the architecture and control strategy of each subsystem of High-speed Flying Train control system are optimized to meet the actual demands.In this paper,the optimization schemes are proposed for the communication subsystem,traction curve and partition switching scene of control system.And the feasibility of the proposed schemes is proved theoretically.The details are as follows:(1)On the basis of the preliminary determination of Operation Control System structure,the modified communication subsystem scheme based on dual redundant automatic Ethernet and 5G wireless communication system is proposed.Dual redundant automatic Ethernet is introduced as terrestrial core network to improve transmission efficiency.And 5G wireless communication network is used as vehicle-ground communication system to solve the problem of data transmission delay.Then the proposed scheme is modeled using Unified Modeling Language and colored Petri nets,and the results prove that the optimization scheme can improve the real-time and reliability of the communication system.(2)The optimal control strategy of operation curve is proposed based on the indexes of punctuality,comfort and energy saving.Firstly,a multi-objective optimization model is established based on the analysis of the dynamic characteristics of the train under vacuum operation conditions.Additionally,a modified genetic algorithm is devised to optimize the multi-objective model to obtain a target traction curve suitable for the train and lines of the High-speed Flying Train.(3)The optimization scheme of decentralized handover operation scene is proposed according to the characteristics of the High-speed Flying Train.The scheme reduces existing handover processes from four to three,and is also optimized to improve efficiency of handover.Moreover,the function and information interaction process are modeled using hierarchical colored Petri nets.And the logical rationality of the proposed scheme is proved by model simulation and state space analysis.