列车弓网系统主动控制策略研究

Research on active control strategy of train pantograph and catenary system

列车弓与网之间的接触力稳定是影响列车安全运行的主要因素之一。受电弓的主动控制是保证弓网间接触力稳定的有效方法。利用MATLAB/Simulink软件,通过受电弓运动微分方程建立弓网系统仿真模型,进行仿真。对弓网系统分别用PID、模糊自适应PID进行主动控制仿真。最后在模糊自适应PID基础上进行改进,提出了一种比例自调整模糊PID控制。仿真结果表明,3种主动控制有效地改善了弓网间接触力的波动情况,将3种控制仿真结果进行对比分析发现,控制效果依次提高。从而能为研究高效智能的弓网主动控制系统提供科学理论依据。

The stable contact force between the train and the net is one of the main factors affecting the safe operation of the train.Active control of the pantograph is an effective way to ensure the stability of the contact force between the nets.Using MATLAB/Simulink software,the simulation model was built on the bow network system by the differential equation of pantograph motion and simulated.The active control simulation of the bow network system was carried out by PID and fuzzy adaptive PID respectively.Finally,based on fuzzy adaptive PID,a proportional self-tuning fuzzy PID control is proposed.The simulation results show that the three active controls effectively improve the fluctuation of the contact force between the bow and the net.The comparison of the three control simulation results shows that the control effect is improved in turn.Therefore,it can provide a scientific theoretical basis for the study of efficient and intelligent bow network active control system.