马靖杰,姚贞建,赵宇星,史博.机载方波供电压力传感器相移特性可靠校准方法[J].电子测量与仪器学报,2026,40(1):289-297
机载方波供电压力传感器相移特性可靠校准方法
Reliable calibration method for phase shift characteristic ofairborne square-wave powered pressure sensor
  
DOI:
中文关键词:  压力传感器  相移特性  校准  包络提取  正弦拟合
英文关键词:pressure sensor  phase shift characteristic  calibration  envelope extraction  sinusoidal fitting
基金项目:国家自然科学基金(52575635,52005202)、武汉工程大学研究生教育创新基金(CX2024574)项目资助
作者单位
马靖杰 武汉工程大学电气信息学院武汉430205 
姚贞建 武汉工程大学电气信息学院武汉430205 
赵宇星 武汉工程大学电气信息学院武汉430205 
史博 中国航空工业集团公司北京长城计量测试技术研究所北京100095 
AuthorInstitution
Ma Jingjie School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China 
Yao Zhenjian School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China 
Zhao Yuxing School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China 
Shi Bo Changcheng Institute of Metrology & Measurement, Aviation Industry Corporation of China, Beijing 100095, China 
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中文摘要:
      为解决方波信号在方波供电压力传感器相移特性校准中的干扰,提出一种基于正弦激励的机载方波供电压力传感器相移特性可靠校准方法。基于希尔伯特变换算法,辨识方波供电压力传感器校准输出信号的正弦响应信号,针对正弦响应信号的非平稳偏移问题,采用鲁棒局部均值分解和模糊熵指标,实现正弦响应信号偏移趋势消除,并根据对消除偏移趋势的正弦响应信号进行正弦拟合,估计方波供电压力传感器初始相位,结合参考压力传感器初始相位,实现机载方波供电压力传感器相移特性可靠校准。分别通过仿真实验和正弦校准实验验证该方法对于方波供电压力传感器相移特性校准的性能。仿真实验结果表明,该方法在不同频率的正弦压力激励条件下相移特性校准相对误差均值为0.594%,优于经验模态分解、极值包络法等传统方法,其相对误差均值分别为24.543%和1.553%。正弦校准实验证明了该方法可有效解决校准过程中正弦激励信号、方波供电信号和干扰噪声的耦合问题,实现了机载方波供电压力传感器相移特性可靠校准。
英文摘要:
      To solve the interference of square-wave signals in the phase-shift characteristic calibration of square-wave powered pressure sensors, a reliable calibration method for the phase-shift characteristics of airborne square-wave powered pressure sensors based on sinusoidal excitation is proposed. With the Hilbert transform envelope extraction algorithm, the sinusoidal response signal is identified first from the output of the pressure sensor. Then, the zero offset of the sinusoidal response signal is eliminated by combining robust local mean decomposition algorithm and fuzzy entropy index. Finally, the initial phase of the pressure sensor is estimated based on the four-parameter sinusoidal fitting algorithm, and the phase shift characteristic is calibrated according to the initial phase of the reference pressure sensor. The calibration performance of the proposed method is evaluated by simulation and sinusoidal pressure calibration experiments. The simulation results show that the average relative error of the phase shift characteristic obtained by the proposed method under sinusoidal pressure excitation of different frequencies is about 0.594%, which is less than that obtained by traditional methods such as empirical mode decomposition (24.543%), and extremum envelope method (1.553%). The calibration experiments prove that this method can effectively solve the coupled problem of modal interference caused by sinusoidal excitation signal and square-wave powered signal, leading to inaccurate extraction of sinusoidal responses signal, and achieves reliable calibration of phase shift characteristic of airborne square-wave powered pressure sensors.
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