Online Detection and Control of High-speed Train’s Low-frequency Swaying

Abstract:

Combining an advanced signal detection technology and active inertial components, the method of on-line detection and control for low-frequency swaying of high-speed train was proposed. The empirical mode decomposition(EMD) and the Hilbert transform were used to extract the feature of the measured swaying signal, and the spectral energy ratio was defined as a detection index. Moreover, the lateral dynamic model of railway vehicles was established with the active inertial control strategy for carbody. The results show that, the spectral energy ratio of acceleration differs by 55% between the non- and swaying segment, with strong discrimination to the swaying signal. Compared with the traditional suspension, the active inertia control strategy reduces the frequency response of carbody at specific frequency band significantly and the corresponding root-mean-square in time-domain simulation reduces by 53%.