Research on Adhesion Control Method of CRH2 High-speed Train Based on Model Predictive Control

Adhesion control is an essential prerequisite for ensuring the safe operation of high-speed trains. High-speed trains operate at high speed with low adhesion utilization and frequent slipping may lead to serious accidents. To address these issues, this paper took high-speed train CRH2 as the research object and designed an adhesion controller based on model predictive control to realize the tracking of train slip velocity to the optimal slip velocity, so that the train can operate stably near the peak adhesion point on both dry and wet rail surfaces, and the adhesion utilization rate is 99.2% and 98.6%, respectively. It is much higher than that of the conventional combination correction method. A simulation platform based on the real-time simulator PXIe-1082 and the simulation software StarSim was built, and the results verified the effectiveness of this method.