Parameter identification of Jiles–Atherton model with nonlinear least-square method

Kis, Péter; Iványi, Antal

doi:10.1016/j.physb.2003.08.041

Cited by 40 publications

(16 citation statements)

References 3 publications

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“…The Jiles-Atherton model is usually employed to represent the magnetic behavior of soft magnetic alloys, which exhibit a narrow coercive magnetic fields when compared to SHMMs. In such applications, this model is demonstrated to be accurate [27,30,31]. Conversely, in this case, the SHMM presents a high coercive field and the Jiles-Atherton approach does not perfectly reproduce the magnetic behavior of the material, as illustrated in Figure 4.…”

Section: Resultsmentioning

confidence: 95%

“…the reversible magnetization vector. The parameters needed to represent the radial and tangential characteristics ( Table 2) have been identified by means of the least-squares optimization method proposed by Kis and Iványi [27]. The identification is based on the material radial and tangential hysteresis loops measured on FeCrCo 48/5 SHMM samples by means of a vibrating-sample magnetometer.…”

Section: Numerical Modelingmentioning

confidence: 99%

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Modeling and Validation of the Radial Force Capability of Bearingless Hysteresis Drives

et al. 2018

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The hysteresis motor technology combined with the magnetic suspension makes bearingless hysteresis drives very appealing for high-and ultra-high-speed applications. Such systems exploit the magnetic behavior of the rotor material to achieve mechanical torque, but the hysteresis can significantly influence the magnetic suspension performance. The literature so far has focused mainly on the motor investigation. On the bearing side, the design and the performance assessment have been carried out by neglecting the hysteresis phenomenon of the rotor material. In those cases, the hysteresis of the rotor material is negligible and hence it slightly affects the force generation. In a wider perspective, this paper intends to investigate the force capability of electromagnetic actuators based on materials of large magnetic hysteresis behavior. To this purpose, the proposed numerical model, based on the finite element method, accounts for the magnetic hysteresis. The experimental results confirm the validity of the modeling approach, thus providing a useful tool for the design as well as the investigation of such systems.

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Section: Resultsmentioning

confidence: 95%

Section: Numerical Modelingmentioning

confidence: 99%

Modeling and Validation of the Radial Force Capability of Bearingless Hysteresis Drives

et al. 2018

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“…The parameters needed to represent magnetic characteristic of the FeCrCo 48/5 ( Table 6) have been identified by means of the least-squares optimization method proposed by Kis and Iványi [44]. The identification has been based on the material hysteresis loop measured on FeCrCo 48/5 SHMM samples by means of a vibrating-sample magnetometer (VSM).…”

Section: Modelingmentioning

confidence: 99%

Analysis of a Shaftless Semi-Hard Magnetic Material Flywheel on Radial Hysteresis Self-Bearing Drives

et al. 2018

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Flywheel Energy Storage Systems are interesting solutions for energy storage, featuring advantageous characteristics when compared to other technologies. This has motivated research effort focusing mainly on cost aspects, system reliability and energy density improvement. In this context, a novel shaftless outer-rotor layout is proposed. It features a semi-hard magnetic FeCrCo 48/5 rotor coupled with two bearingless hysteresis drives. The novelty lies in the use of the semi-hard magnetic material, lending the proposed layout advantageous features thanks to its elevated mechanical strength and magnetic properties that enable the use of bearingless hysteresis drives. The paper presents a study of the proposed layout and an assessment of its energetic features. It also focuses on the modeling of the radial magnetic suspension, where the electromagnets providing the levitating forces are modeled through a one-dimensional approach. The Jiles-Atherton model is used to describe the magnetic hysteresis of the rotor material. The proposed flywheel features a mass of 61.2 kg, a storage capability of 600 Wh at the maximum speed of 18,000 rpm and achieves an energy density of 9.8 Wh/kg. The performance of the magnetic suspension is demonstrated to be satisfactory and the influence of the hysteresis of the rotor material is highlighted.Actuators 2018, 7, 87 2 of 22 lower component count and more compact layout than common solutions with separate electric motor and bearing system.FESSs provide various advantages compared to other energy storage technologies, including high power rating, long lifetime, fast recharging, short response time and high power density. These devices require little periodic maintenance, have a very low environmental impact, their charge/discharge cycles do not degrade storage capacity, and their state of charge is easily obtained by measuring the rotational speed [17]. The use of self-bearing drives in flywheel applications lends the system more compactness, higher reliability, lower component count and mass saving, thus strengthening the FESS advantages [18][19][20][21]. On the other hand, one of the main drawbacks of FESSs is the low energy density when compared to other storage technologies [1]. This aspect has motivated a research effort devoted to investigating higher energy density layouts. One solution is represented by flywheels made of composite materials, which achieve higher energy density compared to high-strength steel flywheels thanks to their light-weight, along with the very large mechanical strength permitting very high rotational speeds. A rim made of composite material can be much lighter than a steel flywheel when storing a comparable amount of energy. In this configuration, the rotor is usually in the shape of a hollow cylinder made of composite material such as carbon fiber reinforced plastic.Since the energy density depends directly on the mass of the whole FESS, it can be improved by designing as much mass of the system to contribute to storing energy. The index allowing quantif...

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“…1 demonstrating the effect of the temperature on the B-H loop's characteristics. The final values of the JA model input parameters are obtained for each of the measured B-H loops using a curve fitting technique, i.e., the nonlinear least squares (NLS) method [11]. The optimization function, used in this case, is the square of the difference between the measured and computed data points.…”

Section: Proposed Approachmentioning

confidence: 99%

Temperature Dependence in the Jiles–Atherton Model for Non-Oriented Electrical Steels: An Engineering Approach

Hussain

Bénabou²,

Clénet

et al. 2018

IEEE Trans. Magn.

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. High operating temperatures modify the magnetic behavior of ferromagnetic cores which may affect the performance of electrical machines. Therefore, a temperature-dependent material model is necessary to model the electrical machine behavior more accurately during the design process. Physics-inspired hysteresis models, such as the Jiles-Atherton (JA) model, seem to be promising candidates to incorporate temperature effects and can be embedded in finite element simulations. In this paper, we have identified the JA model parameters from measurements for a temperature range experienced by non-oriented electrical steels in electrical machines during their operation. Based on the analysis, a parameter reduction has been performed. The proposed approach simplifies the identification procedures by reducing the number of model parameters and does not require any additional material information, such as the Curie temperature. The resulting temperature-dependent JA model is validated against measurements, and the results are in good agreement.

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Parameter identification of Jiles–Atherton model with nonlinear least-square method

Cited by 40 publications

References 3 publications

Modeling and Validation of the Radial Force Capability of Bearingless Hysteresis Drives

Modeling and Validation of the Radial Force Capability of Bearingless Hysteresis Drives

Analysis of a Shaftless Semi-Hard Magnetic Material Flywheel on Radial Hysteresis Self-Bearing Drives

Temperature Dependence in the Jiles–Atherton Model for Non-Oriented Electrical Steels: An Engineering Approach

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