TY - GEN
T1 - Numerical Estimation of Iron Loss with Dual models for Electromagnetic Devices.
AU - Liu, X.
AU - Fu, W.
PY - 2018/10/24
Y1 - 2018/10/24
N2 - In this work, in order to get adaptive Jiles-Atherton (JA) model parameters, an algorithm is proposed and assumes JA parameters to be the functions of magnetic field intensity H, or magnetic flux density B. These parameters are considered by using response surface model (RSM) which is based on the moving least squares (MLS) approximation. The RSMs of the JA model parameters are built based on the simulation results of Preisach model. Numerical example is involved to demonstrate the improvement in the accuracy of the modified JA model. Comparison of its predictions with measurements and with traditional JA model is also shown in this paper.
AB - In this work, in order to get adaptive Jiles-Atherton (JA) model parameters, an algorithm is proposed and assumes JA parameters to be the functions of magnetic field intensity H, or magnetic flux density B. These parameters are considered by using response surface model (RSM) which is based on the moving least squares (MLS) approximation. The RSMs of the JA model parameters are built based on the simulation results of Preisach model. Numerical example is involved to demonstrate the improvement in the accuracy of the modified JA model. Comparison of its predictions with measurements and with traditional JA model is also shown in this paper.
UR - http://www.scopus.com/inward/record.url?scp=85066787501&partnerID=8YFLogxK
U2 - 10.1109/INTMAG.2018.8508070
DO - 10.1109/INTMAG.2018.8508070
M3 - Conference article published in proceeding or book
AN - SCOPUS:85066787501
T3 - 2018 IEEE International Magnetic Conference, INTERMAG 2018
BT - 2018 IEEE International Magnetic Conference, INTERMAG 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Magnetic Conference, INTERMAG 2018
Y2 - 23 April 2018 through 27 April 2018
ER -