高速列车低频晃车在线检测及控制

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

摘要:

结合先进信号检测技术和主动惯容元件，提出一种针对高速列车低频晃车的在线检测及控制方法。利用经验模式分解（EMD)和Hilbert变换对实测晃车信号进行特征提取，并定义谱能比为检测指标；在建立车辆横向动力学模型的基础上，采取主动惯容式车体控制策略。结果表明，非晃车段和晃车段的加速度谱能比相差55%，该方法对晃车信号有强分辨力；与传统悬挂相比，主动惯容式车体控制策略能显著降低晃车特定频段的频响幅值，车体振动加速度的均方根值降低了53%。

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%.