Hysteretic Modeling of Output Characteristics of Giant Magnetoresistive Current Sensors

Current sensing based on the giant magnetoresistance (GMR) effect has been gaining attention due to its outstanding merits. In this paper, hysteretic models of the output characteristics of GMR sensors are presented, and corresponding algorithms are successfully applied to practical GMR sensors to c...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2015-01, Vol.62 (1), p.516-524
Main Authors: Jinchi Han, Jun Hu, Yong Ouyang, Wang, Shan X., Jinliang He
Format: Article
Language:English
Subjects:
Algorithms
Current measurement
Error analysis
Error detection
Frequency ranges
Giant magnetoresistance
Hardware
Hysteresis
Magnetic hysteresis
Magnetic sensors
Sensor phenomena and characterization
Sensors
Tunneling magnetoresistance
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Summary:Current sensing based on the giant magnetoresistance (GMR) effect has been gaining attention due to its outstanding merits. In this paper, hysteretic models of the output characteristics of GMR sensors are presented, and corresponding algorithms are successfully applied to practical GMR sensors to compensate for measurement error due to hysteresis, which is particularly important for high-frequency applications. A 91% decrease in nonlinear error is achieved by the proposed advanced hysteretic model, and the applicable frequency range of the GMR sensor can be extended to around the cutoff frequency of sensor hardware, which is nearly 50 times larger than that based on the conventional linear models. This paper provides optimized solutions for GMR current sensors in different frequency ranges.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2014.2326989