基于优化列车模型上的多模软切换的高速列车速度控制

Speed control of high-speed train on multi-mode soft switching of optimize train model

针对高速列车速度控制的快速性、精度以及多模态切换控制的振荡等问题,提出一种基于T-S型模糊加权的多模软切换控制方法.在建立高速列车运动学模型的过程中,结合真实的列车参数进行了模型参数寻优设计;传统的单质点模型不考虑列车长度,在变坡点会出现较大的速度计算误差,因此结合真实的线路数据提出了附加阻力优化计算方法.再采用T-S型模糊推理对模糊控制、模糊PID控制及PI控制进行软切换控制设计.根据分析结果可知,附加阻力优化计算方法有效地提高了变坡点附近受力计算的精度,减小了速度控制的误差.针对优化后的列车模型所设计的多模软切换控制在兼顾多种控制方法优点的同时,克服了切换控制的振荡问题,提高了高速列车速度控制的精度和舒适度.

Aiming at the high speed train speed control problems of accuracy,speedability and oscillation of multi-mode switching control,a multi-mode soft switching control method based on T-S fuzzy weighting is put forward.In establishing the high-speed train motion model,the model parameter optimization is designed by combining the real train parameters.The traditional single particle model does not consider the length of the train,and the train will have a large speed control error at the slope change point,therefore,the optimization calculation method of additional resistance is put forward by combining real line data,it can greatly reduce the speed control error of the train at the slope change point.Then use T-S fuzzy inference to design the soft switching control for fuzzy control,adaptive PID control and PI control.The simulation results show that the additional resistance optimization calculation method effectively improves the accuracy of the force calculation near the slope change point,reduces speed control error.The multi-mode soft switching control designed for the optimized train model takes into account the advantages of multiple control methods,overcomes the oscillation problem of switching control,and improves the accuracy and comfort of high-speed train speed control.