An Improved Lateral Vibration Suppression Strategy of the High-speed Train Using Repetitive Learning Control

This paper tends to use a novel perspective to suppress the lateral vibration of high-speed trains (HST), i.e., making use of the periodicity of lateral dynamics. First, the dynamics of a quarter-vehicle model are analysed and modelled. Next, a backstepping controller is designed to suppress the lateral vibration of car body based on a 3-degree-of-freedom (3-DOF) simulation model. And lateral ride comfort improvements are achieved by implementing such control strategy in comparison with passive system. Finally, under the framework of back-stepping design, a repetitive learning control (RLC) scheme is presented to reduce the lateral vibration by periodic tracking control. The learning convergence is proved rigorously in a Lyapunov way and the simulation results demonstrate the control superiority compared with the backstepping controller.