A Modified Fixed-Point Iteration Algorithm for Magnetic Field Computation With Hysteresis Models

The fixed-point iteration method is widely used in electromagnetic field analysis involving hysteresis property due to its strong robustness, but it has the problem of low computational efficiency. In this article, a modified fixed-point iteration algorithm is proposed where the convergence factor is adaptively adjusted for different time steps according to the variation of residuals, instead of being globally static in traditional ways. Numerical analysis for a C-shaped iron core characterized by the inverse vector Preisach model is performed using the traditional method and the proposed method respectively. The efficiency, stability, and applicability of both methods are assessed, in which the proposed approach shows superior performance.

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Publication Details

Journal
IEEE Transactions on Magnetics
Published
2024-11-04
DOI
https://doi.org/10.1109/tmag.2024.3490895
Primary Topic
Magnetic Properties and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

A Modified Fixed-Point Iteration Algorithm for Magnetic Field Computation With Hysteresis Models

Yu Dou, Ruiying Chen, Shuaichao Yue, Jun Liu et al.
IEEE Transactions on Magnetics
Magnetic Properties and Applications
article

A Modified Fixed-Point Iteration Algorithm for Magnetic Field Computation With Hysteresis Models

Yu Dou, Ruiying Chen, Shuaichao Yue, Jun Liu, Jiatong Yin, Yongjian Li
article en

Abstract

The fixed-point iteration method is widely used in electromagnetic field analysis involving hysteresis property due to its strong robustness, but it has the problem of low computational efficiency. In this article, a modified fixed-point iteration algorithm is proposed where the convergence factor is adaptively adjusted for different time steps according to the variation of residuals, instead of being globally static in traditional ways. Numerical analysis for a C-shaped iron core characterized by the inverse vector Preisach model is performed using the traditional method and the proposed method respectively. The efficiency, stability, and applicability of both methods are assessed, in which the proposed approach shows superior performance.

IEEE Transactions on MagneticsVol. 61(1)
Hebei University of Technology (CN), Cardiff University (GB)
National Natural Science Foundation of China
Openalex Percentile: Top 89%
Magnetic Properties and Applications
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A Modified Fixed-Point Iteration Algorithm for Magnetic Field Computation With Hysteresis Models — Yu Dou, Ruiying Chen, et al. · IEEE Transactions on Magnetics (2024) | TGRS Research Map | TGRS