Parameter identification and macromodeling of hysteresis phenomena

被引:0
|
作者
Peters, D [1 ]
Rehfuss, S [1 ]
Laur, R [1 ]
Brachtendorf, HG [1 ]
机构
[1] Univ Bremen, Inst Electromagnet Theory & Microelect, D-2800 Bremen 33, Germany
关键词
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A parameter identification method for a macro model of hysteresis phenomena is illustrated. The chosen model is based on the theory due to Jiles and Atherton. In contrast to the Jiles-Atherton model (JA) the here chosen model does not show the JA's problems with the frequency dependence of the coercivity. A methodology well known from modeling electronic circuits has been chosen to utilize the illustrated model for the simulation of hard magnetic core materials applying parameter extraction methods based on parametric optimization.
引用
收藏
页码:79 / 83
页数:5
相关论文
共 50 条
  • [41] THE HYSTERESIS PHENOMENA IN A COLLISIONAL MAGNETOPLASMA
    SHVARTSBURG, AB
    PLASMA PHYSICS AND CONTROLLED FUSION, 1981, 23 (04) : 283 - 286
  • [42] HYSTERESIS PHENOMENA IN THE ACOUSTOELECTRONIC STRUCTURES
    VIUN, VA
    GAINER, AV
    SURDUTOVICH, GI
    IAKOVKIN, IB
    DOKLADY AKADEMII NAUK SSSR, 1987, 296 (03): : 583 - 587
  • [43] HYSTERESIS PHENOMENA OF PARAMETRIC OSCILLATIONS
    DROSDZIOK, S
    CZECHOSLOVAK JOURNAL OF PHYSICS, 1973, B 23 (02) : 197 - 201
  • [44] Parameter identification of hysteresis model of reinforced concrete columns considering shear action
    Ma, Ying
    Wu, Zebin
    Cheng, Xuebin
    Sun, Zhiguo
    Chen, Xiaoyu
    STRUCTURES, 2023, 47 : 93 - 104
  • [45] Parameter Identification of the Composite JA Hysteresis Model Based on Whale Optimization Algorithm
    Wang, Qian
    Li, Siquan
    Long, Yingkai
    Jiang, Xiping
    Luo, Xiaoxiao
    Li, Yongfu
    Liu, Jia
    Shen, Zeliang
    Hu, Xiaoxu
    Wang, Jingang
    Tian, Tian
    Zhou, Yuan
    2021 IEEE 2nd China International Youth Conference on Electrical Engineering, CIYCEE 2021, 2021,
  • [46] PARAMETER-IDENTIFICATION OF THE COMPLETE-MOVING-HYSTERESIS MODEL FOR HTS STEEL
    KAHLER, GR
    DELLATORRE, E
    VAJDA, F
    IEEE TRANSACTIONS ON MAGNETICS, 1994, 30 (06) : 4374 - 4376
  • [47] Fast Parametric Macromodeling of Frequency Responses Using Parameter Derivatives
    Ferranti, Francesco
    Deschrijver, Dirk
    Knockaert, Luc
    Dhaene, Tom
    IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2008, 18 (12) : 761 - 763
  • [48] Parameter identification of the Jiles-Atherton hysteresis model using differential evolution
    Toman, Matej
    Stumberger, Gorazd
    Dolinar, Drago
    IEEE TRANSACTIONS ON MAGNETICS, 2008, 44 (06) : 1098 - 1101
  • [49] Parameter identification of the Jiles-Atherton hysteresis model using a hybrid technique
    Baghel, A. P. S.
    Kulkarni, S. V.
    IET ELECTRIC POWER APPLICATIONS, 2012, 6 (09) : 689 - 695
  • [50] Research on the inverse vector hysteresis model with the deep learning parameter identification algorithm
    Ma, Yangyang
    Li, Yongjian
    Sun, He
    Yue, Shuaichao
    Chen, Ruiying
    JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, 2022, 562