基于云模型的高速列车黏着控制

Adhesion control of the high speed train based on cloud model

针对列车在运行过程中出现的空转现象,即在牵引过程中出现的轮轨间黏着控制的问题,提出一种基于云模型的黏着控制方法。根据黏着特性机理和列车的动力学方程,建立列车牵引仿真模型。针对列车的黏着系统的非线性、不确定性,设计双输入单输出的二维正态云模型黏着控制器。仿真结果表明:在外界条件发生极端突变的情况下,该控制方法都能使列车发挥最佳牵引力,有效抑制空转的发生,实现列车黏着控制。

Aiming at the idling phenomenon that occurs during the running of the train,namely that is the problem of the adhesion control between the wheel and the rail during the traction process.This paper proposed an adhesion control method based on cloud model.According to the adhesion characteristic mechanism and the dynamic equation of the train,the train traction simulation models were established.Considering the nonlinearity and uncertainty of the adhesion system,a two-dimensional normal cloud model of adhesion controller was designed with two inputs and one output.The simulation results show that the control method can make the train exert the optimal traction when the external conditions are extremely abrupt,effectively suppress the occurrence of idling and realize the train adhesion control.