Analysis and design of a self-oscillating bidirectionally saturated fluxgate current sensor

Yang, Xiaoguang; Wen, Jing; Chen, Meiqi; Zheng, Guoqiang; Xi, Ligen; Li, Yuqi

doi:10.1016/j.measurement.2020.107687

Cited by 7 publications

(4 citation statements)

References 20 publications

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“…where u is a random number between [0, 1]. (b) Then, the initial position sequence of gray wolf is is shown in Equation (17).…”

Section: Acwgo-bp Nonlinear Fitting Algorithmmentioning

confidence: 99%

“…Initialize BP network, determine the number of implied layers kk; number of nodes hh k ; loss function MAE; output node excitation function ReLU. Initialize ACGWO algorithm parameters: number of gray wolf populations NM; the maximum number of iterations t max ; number of iterations l; optimal search dimension dim, dimension upper session ub, dimension lower bound ul; location update factors bb 1 and bb 2 ; input adaptation function fun; initialize wolf population location according to Equation (17). Train the gray wolf algorithm in each iteration:…”

Section: Training Processmentioning

confidence: 99%

“…Fluxgate current sensors are more sensitive to external magnetic fields and have less temperature drift and greater sensitivity than Hall current sensors [ 15 , 16 ], making them suitable for measuring small signals. Yang et al [ 17 ] enhances the bidirectional saturated fluxgate principle and proposed a new detection method with improved temperature stability and linearity in small current measurements. The literature [ 18 ] proposed a controlled greedy pairing strategy to minimize the zero offset of the fluxgate sensor from 131.27 μA to 19.5 μA to enhance the measurement accuracy of the fluxgate sensor.…”

Section: Introductionmentioning

confidence: 99%

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Design and Optimization of Multi-Stage TMR Sensors for Power Equipment AC/DC Leakage Current Detection

Duan

Wei

et al. 2023

Sensors

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Tunnel magnetoresistance (TMR) can measure weak magnetic fields and has significant advantages for use in alternating current/direct current (AC/DC ) leakage current sensors for power equipment; however, TMR current sensors are easily perturbed by external magnetic fields, and their measurement accuracy and measurement stability are limited in complex engineering application environments. To enhance the TMR sensor measurement performance, this paper proposes a new multi-stage TMR weak AC/DC sensor structure with high measurement sensitivity and anti-magnetic interference capability. The front-end magnetic measurement characteristics and interference immunity of the multi-stage TMR sensor are found to be closely related to the multi-stage ring size design via finite element simulation. The optimal size of the multipole magnetic ring is determined using an improved non-dominated ranking genetic algorithm (ACGWO-BP-NSGA-II) to derive the optimal sensor structure. Experimental results demonstrate that the newly designed multi-stage TMR current sensor has a measurement range of 60 mA, a fitting nonlinearity error of less than 1%, a measurement bandwidth of 0–80 kHz, a minimum AC measurement value of 85 μA and a minimum DC measurement value of 50 μA, as well as a strong external electromagnetic interference. The TMR sensor can effectively enhance measurement precision and stability in the presence of intense external electromagnetic interference.

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“…where u is a random number between [0, 1]. (b) Then, the initial position sequence of gray wolf is is shown in Equation (17).…”

Section: Acwgo-bp Nonlinear Fitting Algorithmmentioning

confidence: 99%

Section: Training Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design and Optimization of Multi-Stage TMR Sensors for Power Equipment AC/DC Leakage Current Detection

Duan

Wei

et al. 2023

Sensors

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“…Sensors 2020, 20, x FOR PEER REVIEW 9 of 18 Yang et al proposed a time domain method to measure current [54]. It is a bidirectionally saturated fluxgate based on open-loop self-oscillating technology.…”

Section: Astro Observationmentioning

confidence: 99%

Recent Progress of Fluxgate Magnetic Sensors: Basic Research and Application

Wei

Liao

Zhang

et al. 2021

Sensors

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Fluxgate magnetic sensors are especially important in detecting weak magnetic fields. The mechanism of a fluxgate magnetic sensor is based on Faraday’s law of electromagnetic induction. The structure of a fluxgate magnetic sensor mainly consists of excitation windings, core and sensing windings, similar to the structure of a transformer. To date, they have been applied to many fields such as geophysics and astro-observations, wearable electronic devices and non-destructive testing. In this review, we report the recent progress in both the basic research and applications of fluxgate magnetic sensors, especially in the past two years. Regarding the basic research, we focus on the progress in lowering the noise, better calibration methods and increasing the sensitivity. Concerning applications, we introduce recent work about fluxgate magnetometers on spacecraft, unmanned aerial vehicles, wearable electronic devices and defect detection in coiled tubing. Based on the above work, we hope that we can have a clearer prospect about the future research direction of fluxgate magnetic sensor.

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