Study On Re-adhesion Optimization Control Strategy For High-speed Train Traction System

The study on adhesion problem between wheel and rail is a basic research subject closely associated with high-speed rail system normal operation. In order to suppress trains’ idling phenomenon, and improve the train running adhesion performance, this paper does the relative research on the re-adhesion optimal control strategy, and the strategy include two aspects:One is the study of traditional re-adhesion control for single-axis anti-idling, the other is the study of total re-adhesion control performance improvement after idling happens. Firstly, this paper introduces the wheel-rail adhesion mechanism and related concepts briefly and also conclude the main factors affecting the adhesion coefficient. Besides, the axle adhesion capacity deviation distribution is mentioned in the paper. Secondly, this paper builds the kinematics models of single-axis and whole vehicle, and the model has been confirmed by the simulation basing on the parameters of CRH2A EMUs. Thirdly, this paper proposes a novel re-adhesion torque optimization control for the single axis’idling phenomenon based on the theory of fuzzy PI controller and the search algorithm of gradient descent method, and the effectiveness of the re-adhesion torque optimization control method has been confirmed by the comparisons of the simulation results of correction method. Fourth, based on the single axis re-adhesion control method mentioned above, this paper theoretically explore a novel real-time traction reference re-allocation control for fine total re-adhesion control performance, and the numerical simulation show that the method can effectively improve the total train traction adhesion performance. Finally, this paper builds the adhesion emulation experimental platform based on the5.5kW induction motors drag platform by using the dSPACE Hard-in-the-Loop Simulation technology, and then the re-adhesion torque optimization control and correction method are both verified through the experimental platform. The experimental results show that the re-adhesion torque optimization control is superior to the correction method, which can not only suppress the wheel idling more effectively but also accomplish the higher adhesion utilization than the correction method.