陈胜硕,胡杰祥,李 志,康世佳,李岩松,刘 君.光学电压传感器温度响应特性分析与实验研究[J].电子测量与仪器学报,2023,37(3):169-178
光学电压传感器温度响应特性分析与实验研究
Analysis and experimental study on temperature response characteristics of optical voltage sensor
  
DOI:
中文关键词:  光学电压传感器  温度稳定性  高通滤波  Pockels 效应  热光效应
英文关键词:optical voltage sensor  temperature stability  high-pass filtering  Pockels effect  thermo-optic effect
基金项目:国家自然科学基金(51277066)项目资助
作者单位
陈胜硕 1. 华北电力大学电气与电子工程学院 
胡杰祥 1. 华北电力大学电气与电子工程学院 
李 志 2. 国网福建省电力有限公司福州供电公司 
康世佳 1. 华北电力大学电气与电子工程学院 
李岩松 1. 华北电力大学电气与电子工程学院 
刘 君 1. 华北电力大学电气与电子工程学院 
AuthorInstitution
Chen Shengshuo 1. School of Electrical and Electronic Engineering, North China Electric Power University 
Hu Jiexiang 1. School of Electrical and Electronic Engineering, North China Electric Power University 
Li Zhi 2. State Grid Fujian Electric Power Co. , Ltd. , Fuzhou Power Supply Company 
Kang Shijia 1. School of Electrical and Electronic Engineering, North China Electric Power University 
Li Yansong 1. School of Electrical and Electronic Engineering, North China Electric Power University 
Liu Jun 1. School of Electrical and Electronic Engineering, North China Electric Power University 
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中文摘要:
      光学电压传感器面临温度稳定性问题。 本文以 BGO 晶体的 Pockels 效应模型为基础,结合热光效应等推导出光学电压 传感器在多物理场作用下的温度响应模型,并对输出信号进行频谱分析,得到温度对传感器输出的影响规律,即由温度引起的 输出漂移属于低频分量。 在卡尔曼滤波降噪的基础上, 提出了一种基于频谱分析的高通滤波温度补偿方法,通过滤除低频分 量提高温度稳定性,并进行标定实验和温度响应特性实验。 实验结果表明,传感器在[0℃ ,50℃ ]温度范围内输出电压测量精 度优于±1. 79%,与同平台下 BP 神经网络温度补偿方法进行对比,该方法易于实现且有效地抑制了温度漂移的影响。
英文摘要:
      Optical voltage sensors face the problem of temperature stability. Based on the Pockels effect model of BGO crystal and the thermo-optic effect and so on, the temperature response model of the optical voltage sensor under the action of multi-physical fields is derived and the spectrum analysis of the output signal is carried out to obtain the effect law of temperature on the output of the sensor, i. e. , the output drift caused by temperature belongs to the low frequency component. Based on the Kalman filtering noise reduction, a high-pass filtering temperature compensation method based on spectral analysis is proposed to improve the temperature stability by filtering out the low frequency components, and calibration experiments and temperature response characteristics are conducted. The experimental results show that the accuracy of the output voltage measurement is better than ±1. 79% in the temperature range of [0 ℃ , 50 ℃ ], and the method is easy to implement and effectively suppresses the influence of temperature drift when compared with the BP neural network temperature compensation method in the same platform.
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