基于动态自由能磁滞模型的GMM-FBG电流传感器磁滞建模与参数辨识

doi:10.3969/j.issn.1000-1158.2022.04.13

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Abstract In order to solve the hysteresis nonlinearity and eddy current loss problems in GMM-FBG current sensor, a dynamic free energy hysteresis model of coupled eddy current loss model was proposed, and nonlinear genetic algorithm was used to identify and optimize the parameters of the model, which improved the prediction accuracy of the model to the hysteresis curve at power frequency. A GMM-FBG current sensor experimental platform was built, and the hysteresis model was used to compensate the sensor system and verify the sensor system. The experimental results showed that the model can well predict the dynamic hysteresis nonlinearity of the sensor under power frequency, the prediction error of the model is within 3.6%, and the sensitivity of current measurement can reach 0.069nm/A.

Key words： metrology GMM-FBG current sensor dynamic free energy hysteresis model nonlinear genetic algorithm parameter identification

Received: 29 June 2020 Published: 08 April 2022

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TB97

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	Articles by authors
	TENG Feng-cheng
	YANG Xue-fan
	Lü Deng-yan
	YE Wen-hao

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TENG Feng-cheng,YANG Xue-fan,Lü Deng-yan, et al. Hysteresis Modeling and Parameter Identification of GMM-FBG Current Sensor Based on Dynamic Free Energy Hysteresis Model[J]. Acta Metrologica Sinica, 2022, 43(4): 513-520.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2022.04.13 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2022/V43/I4/513

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