Research on Iterative Learning Semi-active Control for Curve Passing of High-speed Train

Abstract

When the high-speed train passes the curve, its dynamics performance deteriorates. In order to improve the dynamic performance of high-speed train when passing through different curves, the influence of semi-active control with yaw damper on its dynamic performance was studied. According to the repeatability of train running and the big data, the PD iterative learning control algorithm was designed, and the semi-active control simulation which combined control algorithm with dynamic software was carried out to compare with the results of the passive working conditions. The results showed that after 10 iterations, the stationarity index, derailment coefficient, wheel load reduction rate and wheel-rail lateral force were improved.

Keywords

• high-speed train
• semi-active control
• curve pass
• iterative learning control
• stationarity
• safety
• simulation