神朔铁路万吨重载列车涌动有限集预测控制研究

Research on finite set predictive control for surge of 10,000-ton heavy haul trains on Shenmu-Shuozhou railway

神朔铁路是我国重要的重载货运线路,重载列车运行环境恶劣,操纵困难,列车涌动严重影响运行平稳性和行车安全。针对神朔铁路行车过程中的涌动问题,文章分析了重载列车涌动发生时的信号特征,搭建了基于弹性阻尼车钩的列车多质点动力学模型,通过仿真分析了重载列车无涌动和有涌动时的运行状态,针对重载列车的涌动问题提出了一种有限集预测控制方法,仿真验证了该预测控制能够减小列车涌动时的速度波动和最大车钩力。

Shenmu-Shuozhou railway is an important heavy haul freight railway line in China.Heavy haul trains run in harsh environments with great difficulties in operation.Train surge seriously affects train operation smoothness and safety.To address the surge of trains running on Shenmu-Shuozhou railway,the signal characteristics when surge occurs on heavy duty trains were analyzed,and a train multi-particle dynamic model based on elastic damping couplers was established.In addition,the running state of heavy haul trains with and without surge was simulated.A finite set predictive control method was proposed to eliminate the surge of heavy haul trains.The simulation verifies that the predictive control can reduce the speed fluctuation and the maximum coupler force during the surge of trains.