Research on Virtually Coupled Train Formation Control of Heavy-haul Train Based on Improved MPC under Moving Block System
Virtually coupled train formation control is an important means to improve the transport capacity of urban rail transit with moving block system.Aiming at the characteristics of heavy load,long formation and difficult control of heav-y-haul train,this paper proposed a control method for virtually coupled heavy-haul train formation based on improved MPC(model predictive control)under moving block system.In this paper,with the establishment of the heavy-haul train formation model based on multi-particle model with distributed control structure,the MPC method was improved by adding adaptive feedback link,while the nonlinear function was processed by introducing 0-1 index variable to further solve the mixed integer quadratic optimization problem.The results of the simulation using the actual data of railway line and trains under Shuohuang heavy-haul moving block system show that the maximum speed error is 0.465 km/h,with the maximum interval error of 1.899 m,and with the error distribution being concentrated near the zero point,proving that the improved MPC control method proposed in this paper,which can meet the requirements of virtually coupled heavy-haul train formation under moving block system,is effective.
heavy-haul trainvirtually coupled train formationmodel predictive controlcooperative control
万方数据
维普
