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采用晶体劈和成像检测模式的光学电流传感器设计

DOI: 10.13334/j.0258-8013.pcsee.2015.01.010, PP. 74-81

Keywords: 大数据,光学电流传感器,晶体劈,图像采集系统,法拉第旋转角,磁光薄膜

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Abstract:

传感器技术是大数据技术在电力系统应用的基础,而现有光学电流传感器(opticalcurrentsensor,OCS)基于马吕斯定律采用光强检测模式实现对法拉第旋转角的测量,导致非线性测量、动态范围小、易受线双折射和温度影响等问题。该文提出一种用晶体劈将法拉第旋转角转换为条纹的位移,并通过数字图像采集单元测量位移量,实现法拉第旋转角大范围线性测量的OCS设计方法。实验结果表明,相比传统光强检测模式,采用成像测量模式可使OCS具有光功率无关性、动态测量范围大、线性测量等优点,同时降低了温度对测量结果的影响。

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