基于主动电离阵列式静电传感器的气流速度测量方法研究
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1.东南大学能源与环境学院南京211189; 2.内蒙航天动力机械测试所呼和浩特010010

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TH815

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国家重点研发计划(2023YFB4102904)项目资助


Gas velocity measurement method based on electrostatic sensor array and active ionization
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1.School of Energy and Environment, Southeast University, Nanjing 211189, China; 2.Inner Mongolia Aerospace Power Mechanical Testing Institute, Hohhot 010010, China

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    摘要:

    针对现有主动电离式静电测速方法中静电信号沿程衰减大、测量准确性受传感器位置影响严重以及互相关计算参数选取较为复杂等问题,提出了一种基于主动电离阵列式静电传感器的气流速度测量方法。设计了包含上游激励模块与下游多通道检测电极的主动电离阵列式静电传感器,采用交变高压激励在流场中主动产生具有固定频率特征的离子示踪信号。通过在风洞平台上开展的风速测量实验,系统分析了交变激励条件下阵列各检测电极输出静电感应信号的频率特性、沿程衰减规律及其空间分布特征,进而提出了一种基于静电信号信噪比(SNR)与衰减率的有效速度筛选准则。实验结果表明:主动电离式静电互相关测速误差受信号衰减特性影响较大,且不同流速下最佳测量结果的位置具有明显差异;采用所提出的有效速度筛选准则,即当电极对SNR>5.6 dB且信号衰减率小于1.5时,在10~40 m/s流速范围,可将速度测量的相对误差与相对标准偏差控制在2%以内。此外,交变激励下静电信号频率由激励源频率主导且不随流速变化,基于该特性可将互相关积分时间按信号周期数进行选取,从而显著简化互相关计算参数的选取过程。当积分时间选取为激励信号5倍周期时,测速结果的相对标准偏差可稳定控制在1%左右。

    Abstract:

    To address the limitations of existing active electrostatic velocity measurement methods—such as significant signal attenuation along the path, high sensitivity of measurement accuracy to sensor positioning, and high complexity of selecting cross-correlation parameters—a gas velocity measurement method based on an electrostatic sensor array and active ionization is proposed. An electrostatic sensor array composed of an upstream excitation module and downstream multi-channel detection electrodes was designed. Alternating high-voltage excitation was employed to actively generate ion tracer signals with fixed frequency characteristics within the flow field. Through experiments conducted on a wind tunnel platform, the frequency characteristics, spatial attenuation, and spatial distribution of the electrostatic signals from the sensor array under alternating high-voltage excitation were systematically analyzed. Furthermore, a criterion for effective velocity screening based on the signal-to-noise ratio (SNR) and electrostatic attenuation rate was proposed. Experimental results indicate that the error of active electrostatic crosscorrelation velocity measurement is significantly influenced by signal attenuation characteristics, and the optimal measurement position varies notably with flow velocity. When the electrode pair′s SNR exceeds 5.6 dB and the signal attenuation rate is less than 1.5, both the relative error and relative standard deviation of velocity measurements can be controlled within 2% over the flow velocity range of 10~40 m/s. Additionally, the frequency of the electrostatic signal is dominated by the alternating high-voltage excitation source and remains insensitive to flow velocity. Accordingly, the cross-correlation integration time can be determined by the number of signal periods, which significantly simplifies the parameter selection process. When the integration time is set to five signal periods, the relative standard deviation of the velocity measurement results is approximately 1%.

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王光祖,陈欣欣,马利斌,李健,许传龙.基于主动电离阵列式静电传感器的气流速度测量方法研究[J].仪器仪表学报,2026,47(6):1-12

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  • 在线发布日期: 2026-09-02
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