常导高速磁浮列车间隙传感器静浮工况下齿槽效应抑制算法仿真研究

Simulation Research on Groove Effect Suppression Algorithm for Gap Sensors in EMS High-speed Maglev Trains under Static Levitation Conditions

  • 摘要:
    目的 间隙传感器的测量精度关系着常导高速磁浮列车悬浮控制系统的各项性能。实际中,轨道铁芯齿槽结构的存在会引起输出电压波动明显从而降低测量精度,这一现象被称为“齿槽效应”。既有研究多通过优化结构设计抑制齿槽效应,这一方法实施困难且抑制效果有限,因此,有必要研究一种新的抑制方法。
    方法 基于间隙传感器基本原理及电路模型,利用仿真软件对间隙传感器的有限元模型进行分析,并根据输出的电压信号进行间隙预测,验证了齿槽效应的存在。通过对齿槽效应波形进行谐波分析,获得了主要谐波成分及幅值,进而构造出适合全间隙范围的齿槽效应补偿函数。将单个悬浮线圈组内部两个速度线圈输出电压相减,然后将两组相差1/4齿槽宽度周期的悬浮线圈组的差分电压信号相除,利用反三角函数计算出间隙线圈的当前位置信息。将获得的位置信息代入补偿函数,从而实现了对测量结果的补偿。
    结果及结论 通过有限元仿真的输出数据,结合齿槽效应补偿函数及悬浮线圈计算出的位置信息,最终可将2.00~20.00 mm全间隙段的测量精度误差,由原本未进行齿槽效应补偿时的1.32 mm降至0.40 mm以下,可知进行齿槽效应补偿后的精度满足工程需要。

     

    Abstract:
    Objective The gap sensor measurement accuracy is directly related to the performance of the suspension control system of EMS (electromagnetic suspension) high-speed maglev train. In practice, the presence of cogging structure of track iron core may cause significant fluctuations in the output voltage, thereby reducing measurement accuracy; this phenomenon is referred to as the groove effect. Existing studies have mostly focused on suppressing the groove effect by optimizing structural design; however, this approach is difficult to implement and offers limited suppression effectiveness. Therefore, it is necessary to investigate a new suppression method.
    Method Based on the fundamental operating principle and the circuit model of gap sensor, finite element models of gap sensor are analyzed using simulation software. Gap prediction is performed according to the output voltage signals, thereby verifying the existence of cogging effect. Harmonic analysis of the groove-effect waveform is conducted to obtain the main harmonic components and their amplitudes, and on this basis, a groove-effect compensation function suitable for the full gap range is constructed. The output voltages of two speed coils within a single levitation coil set are subtracted, then the differential voltage signals of two groups of levitation speed-coil with a phase difference of 1/4 cogging-slot width period are divided. The current positional information of the gap coil is calculated using inverse trigonometric functions. The obtained positional information is substituted into the compensation function, thereby achieving compensation of the measurement results.
    Result & Conclusion  Using the output data from finite element simulations, and combining both the groove-effect compensation function and the positional information calculated from the levitation coils, the measurement accuracy error over the 2 - 20 mm full gap range can be reduced from 1.32 mm for scenarios without clogging-effect compensation to 0.40 mm, demonstrating that the accuracy after groove-effect compensation meets engineering requirements.

     

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