Research and Application of Generalized Predictive Control Algorithm in ATO System

Aiming at the safety guarantee of the train in the process of operation, whether it can arrive on time and comfort in the process of riding. In this paper, generalized predictive control algorithm is applied to automatic train operation system. First of all, the structure and function of the ATO system of the train are studied and analyzed, and then the force analysis of the train operation is carried out and the transformation of each working condition is understood and the situation is applicable. Secondly, the GPC algorithm is studied in detail, and its prediction model, rolling optimization and online identification are recognized respectively, and the train speed controller is designed. Finally, the ATO system is simulated and designed based on GPC algorithm, and the train model is analyzed. Moreover, it can be verified by simulation that under the GPC algorithm, the train can track the set target curve well during operation, ensuring the safety, comfort, energy saving and accuracy of the train operation.