Optimization Of Heavy Haul Train Operation Curve Based On Coupler Force Constraint Model

Over the past decade,China has made remarkable achievements in the construction of heavy haul railways.In 2014,the operation test of 30,000 tons heavy haul trains on Daqin Railway was successful.However,with the increase of axle load and traction weight of heavy haul trains,great changes have taken place in the formation and operation of heavy haul trains.Transportation safety problems have gradually become prominent,which seriously restrict the development of heavy haul trains transportation.Therefore,it is of great significance to study the operation process of heavy haul trains,optimize the train operation curve and ensure the safe and efficient operation of trains.In order to solve the safety problems in train operation and optimize the train operation curve,this paper establishes the train operation model and optimizes the train operation curve by analyzing the train operation process.It can not only ensure the safety of train operation and train arrival on time,but also optimize train operation process and reduce train energy consumption.Specific research is as follows:1.This paper analyses the operation characteristics of heavy haul trains in China and establishes a multi-particle model of heavy haul trains based on the characteristics of the actual operation environment of trains.The external forces acting on the train during operation are studied,and the longitudinal dynamic equation of train operation is solved by Zhai method.2.The coupler buffer device of train is analyzed and establish a coupler force constraint model.According to the longitudinal dynamic model of train operation and the constraint model of coupler buffer device,combined with the train operation data,the simulation experiments of traction and electric braking under different initial pressures are carried out,and the train operation under different conditions is simulated,the constraint coupler buffer model established in this paper is compared with the existing coupler buffer model,and the train operation is simulated according to the requirements of international benchmark test.Finally,the train operation under different conditions is simulated.Then the simulation results are compared with the test results of heavy haul trains operation conducted by China Railway Research Institute.The results verify the accuracy of the model established in this paper.3.Based on the dynamic longitudinal dynamic model of train and the constraint model of coupler and retarder,combined with the constraints of actual running line,and consider the coupler force constraint when the train is running,considering safety,energy saving and punctuality,a multi-objective optimization model is established,and the multi-objective adaptive genetic algorithm is used to optimize the train operation curve.By evaluating the simulated train operation curve from safety,energy saving and punctuality,a multi-objective optimal operation curve is optimized and compared with the actual operation curve.The results show that the multi-objective optimization curve is better than the actual operation curve in energy saving and punctuality while ensuring the safety of train operation.In this paper,the train longitudinal dynamics model,coupler force constraint model and multi-objective optimization model are established by studying the operation characteristics of heavy haul trains.And finally,the multi-objective adaptive genetic algorithm is used to simulate the train operation optimization curve.The model established in this paper can accurately simulate the actual operation state of the train,and the optimized operation curve has certain reference value for the actual operation of the train.