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Article

Grating Spectrum Design and Optimization of GMM-FBG Current Sensor

1
China Electric Power Research Institute, Beijing 100192, China
2
State Grid Shizuishan Electric Power Supply Company, Shizuishan 753099, China
3
State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing 400044, China
*
Authors to whom correspondence should be addressed.
Energies 2023, 16(2), 997; https://doi.org/10.3390/en16020997
Submission received: 10 November 2022 / Revised: 26 December 2022 / Accepted: 9 January 2023 / Published: 16 January 2023
(This article belongs to the Topic High Voltage Systems and Smart Technologies)

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 current sensor; magnetostriction; fiber Bragg grating; double grating-intensity demodulation method

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MDPI and ACS Style

Jiao, F.; Lei, Y.; Peng, G.; Dong, F.; Yang, Q.; Liao, W. Grating Spectrum Design and Optimization of GMM-FBG Current Sensor. Energies 2023, 16, 997. https://doi.org/10.3390/en16020997

AMA Style

Jiao F, Lei Y, Peng G, Dong F, Yang Q, Liao W. Grating Spectrum Design and Optimization of GMM-FBG Current Sensor. Energies. 2023; 16(2):997. https://doi.org/10.3390/en16020997

Chicago/Turabian Style

Jiao, Fei, Yuqing Lei, Guozheng Peng, Funing Dong, Qing Yang, and Wei Liao. 2023. "Grating Spectrum Design and Optimization of GMM-FBG Current Sensor" Energies 16, no. 2: 997. https://doi.org/10.3390/en16020997

APA Style

Jiao, F., Lei, Y., Peng, G., Dong, F., Yang, Q., & Liao, W. (2023). Grating Spectrum Design and Optimization of GMM-FBG Current Sensor. Energies, 16(2), 997. https://doi.org/10.3390/en16020997

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