Magnetic Fluxgate Sensor Characteristics Modeling Using Extended Preisach Model

Frydrych, Piotr; Szewczyk, Roman; Salach, Jacek

doi:10.12693/aphyspola.126.18

Cited by 5 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The experimental results clearly indicate that physical principles-based models of AM curve are most accurate for modeling the characteristics of modern magnetic materials. This fact should be taken into consideration by both researchers trying to understand the magnetic hysteresis mechanisms, as well as by engineers developing components with cores made of soft magnetic materials, such as magnetic field sensors [25] and novel magnetic circuits [26]. Moreover, the results of magnetic measurements confirm the results of previous research concerning the Cu addition to ferromagnetic alloys [27].…”

Section: Discussionsupporting

confidence: 61%

Experimental Verification of Isotropic and Anisotropic Anhysteretic Magnetization Models

2019

View full text Add to dashboard Cite

The anhysteretic magnetization curve is the key element of modeling magnetic hysteresis loops. Despite the fact that it is intensively exploited, known models of anhysteretic curve have not been verified experimentally. This paper presents the validation of four anhysteretic curve models considering four different materials, including isotropic, such as Mn-Zn soft ferrite, as well as anisotropic amorphous and nanocrystalline alloys. The presented results indicate that only the model that considers anisotropic energy is valid for a wide set of modern magnetic materials. The most suitable of the verified models is the anisotropic extension function-based model, which considers uniaxial anisotropy.

show abstract

Section: Discussionsupporting

confidence: 61%

Experimental Verification of Isotropic and Anisotropic Anhysteretic Magnetization Models

2019

View full text Add to dashboard Cite

show abstract

“…As these are complex and do not consider all phenomena, simplified approaches are searched for. For example, hysteresis is often modeled using the Preisah operator [36]. The relatively new approach is to use a heuristic approach, such as the artificial neural network (ANN) [37].…”

Section: A Appendix: Modeling Details A1 Modeling Prerequisitesmentioning

confidence: 99%

Testing and modeling of constant magnetic field cylindrical magnetoelectric sensors output characteristics

Kuczynski,

Bilski,

Bilski

et al. 2023

Bulletin of the Polish Academy of Sciences Technical Sciences

View full text Add to dashboard Cite

The paper presents the novel concept of the magnetoelectric sensor constructed using the amorphous glass ribbon. Its output characteristics (voltage pattern), conditions of work and experimental results are presented. The novel construction allows for minimizing the demagnetizing field in the core of the sensor and linearization of the characteristics between the magnetic field and obtained voltage. Conducted experiments were aimed at determining the sensor operation in the presence of the constant magnetic field (H DC ). The main concern of the tests was to verify the linear dependency between the H DC value and the amplitude of the output voltage. Next, the computer model representing the sensor behavior in the constant magnetic field is described. The model implements the parameter identification task based on the regression algorithms. The presented work shows that the proposed device can be used to measure the weak magnetic field and the dependency between the output signal amplitudes and the constant component in the measured magnetic field is approximately linear. This enables measurements of even weak fields.

show abstract

“…Such magnetic field sensors finds their applications in low power mobile devices such as terrestrial and space navigation systems, military detection, craft navigation, medical recognition, modern digital navigation, and non-destructive inspection [9]. Fluxgate sensors have very high sensitivity, spans a wide range from 100 pT to 100 μT [10], low noise, small size, less power consumption, and high temperature stability [11]. The progress in magnetic materials which form the heart of Fluxgate Sensor (FS) and characterizes their sensitivity, noise level, and linearity range is responsible for their popularity among other competitive magnetic field sensors [12].…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Multiple Feedback and Sallen Key Band-Pass Filters for Development of Ferrite Based High Sensitive Fluxgate Sensor

Yusuf¹,

Umar²,

U.H³

2021

IJEEA

View full text Add to dashboard Cite

Geomagnetic storms and sub-storms, sudden commencement, and geomagnetic pulsations are a worldwide disturbance of earth's magnetic field which causes significant damage across the world with a single event. Fluxgate sensor is essential in order to predict such occurrence of the major disturbances. In this study, comparative analysis of Multiple Feedback Band-Pass Filter (MFB-BPF) and Sallen Key Band-Pass Filter (SK-BPF) for the implementation of ferrite based high sensitive Fluxgate Sensor (FS) for earth's magnetic field explorations was carried out using Multisim MATLAB. The harmonics responses of the sensing coil output voltage for the designed fluxgate sensor was tested using the designed second-order MFB-BPF and SK-BPF. The prototype single-axis fluxgate sensor was used to obtain 2nd harmonic magnetic field response with Helmholtz coil. Results show that the 2nd harmonics produced the highest amplitudes of 45.61mV at an excitation current of 18.75mA for MFB-BPF and 51.20mV at excitation current of 50.00mA for the SK-BPF respectively. An indication that the core was strongly saturated at the 2nd harmonics and the MFB-BPF performance proved its superiority over the SK-BPF. The MFB-BPF can be adapted for the development of a high sensitive fluxgate sensor which can be used for earth magnetic field exploration.

show abstract

Magnetic Fluxgate Sensor Characteristics Modeling Using Extended Preisach Model

Cited by 5 publications

References 6 publications

Experimental Verification of Isotropic and Anisotropic Anhysteretic Magnetization Models

Experimental Verification of Isotropic and Anisotropic Anhysteretic Magnetization Models

Testing and modeling of constant magnetic field cylindrical magnetoelectric sensors output characteristics

Comparative Analysis of Multiple Feedback and Sallen Key Band-Pass Filters for Development of Ferrite Based High Sensitive Fluxgate Sensor

Contact Info

Product

Resources

About