Grating Spectrum Design and Optimization of GMM-FBG Current Sensor

Fei Jiao, Yuqing Lei (), Guozheng Peng, Funing Dong, Qing Yang () and Wei Liao
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Fei Jiao: China Electric Power Research Institute, Beijing 100192, China
Yuqing Lei: China Electric Power Research Institute, Beijing 100192, China
Guozheng Peng: China Electric Power Research Institute, Beijing 100192, China
Funing Dong: State Grid Shizuishan Electric Power Supply Company, Shizuishan 753099, China
Qing Yang: State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing 400044, China
Wei Liao: State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing 400044, China

Energies, 2023, vol. 16, issue 2, 1-12

Abstract: In this study, the performance of a current sensor based on giant magnetostrictive materials (GMM) and fiber Bragg grating (FBG) has been improved by optimizing the spectral characteristics of gratings. By analyzing the influence of FBG on the current sensor characteristics, three key parameters (gate region length, refractive index modulation depth, and toe cutting system) are selected for optimization. The optimal grating parameters are determined to improve the linearity and sensitivity of sensor output. Experimental tests reveal that after grating optimization, the current sensor shows excellent performance parameters, including a linearity of 0.9942, sensitivity of 249.75 mV/A, and good stability in the temperature range of 0–60 °C. This research can provide a reference for improving the grating design and performance of existing GMM-FBG current sensors.

Keywords: current sensor; magnetostriction; fiber Bragg grating; double grating-intensity demodulation method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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