中低速磁浮列车过轨缝的间隙信号处理算法及实现
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湖南省科技厅磁浮交通车辆系统集成湖南省重点实验室建设基金资助项目(2018TP1035)


Algorithm and Implementation of Signal Processing for Medium-Low Speed Maglev Train Crossing Rail Gaps
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    摘要:

    悬浮传感器间隙信号的正确处理是实现磁浮列车稳定悬浮控制的重要基础,若磁浮列车在过轨缝时的间隙信号处理不当会带来阶跃干扰,易使悬浮控制出现过度调节,影响悬浮系统的稳定性,甚至导致磁浮列车发生振动或砸轨。现实中磁浮列车也确实易在过轨缝时发生振动或砸轨现象,因此,为解决这一实际问题,结合实验线和某磁浮运行线磁浮列车过轨缝的间隙信号数据特点,提出一种新的磁浮列车过轨缝的间隙信号处理算法。该算法通过提取磁浮列车过轨缝时的实验和运行数据的间隙信号特点,区分开理想轨缝和轨道台阶,并设计了一种间隙补偿方法。仿真结果表明,所提算法可有效处理轨道台阶带来的信号干扰,提升悬浮控制系统的稳定性。

    Abstract:

    The correct processing of gap signal of levitation sensor is an important basis to realize the stable levitation control of maglev trains. A signal interference will be led to by an improper processing of clearance signal with maglev trains passing through rail cracks, which is liable to cause excessive adjustment of suspension control, affect the stability of suspension system, and even lead to vibration or rail smashing of maglev trains. With a view to solving the problem that maglev trains are prone to vibrate or smash the rail when passing through rail gaps, a new algorithm has been proposed for processing the gap signal of the maglev train passing through rail gaps based on the characteristics of the gap signal data of the maglev train passing through rail gaps of the experimental lines and a certain maglev operation lines. By extracting the gap signal characteristics of the experiment and operation data when the maglev train passes through the rail gap, the algorithm distinguishes the ideal rail gap and the rail step, with a gap compensation method further designed. The simulation results show that the proposed algorithm can effectively deal with the signal interference caused by the track steps, thus improving the stability of the suspension control system.

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汤 彪,张 姣,佟来生,张文跃,陈启发.中低速磁浮列车过轨缝的间隙信号处理算法及实现[J].湖南工业大学学报,2020,34(3):56-61.

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  • 收稿日期:2019-08-30
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  • 在线发布日期: 2020-05-26
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