DocumentCode :
41103
Title :
Establishing a Relation between Preisach and Jiles–Atherton Models
Author :
Hussain, Sajid ; Lowther, David A.
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
Volume :
51
Issue :
3
fYear :
2015
fDate :
Mar-15
Firstpage :
1
Lastpage :
4
Abstract :
Hysteresis models can incorporate the effects of operating conditions (frequency, stress, and temperature) on iron losses incurred in ferromagnetic materials. Among such models, the Jiles-Atherton (JA) and Preisach models are the most popular and various modifications of these have been proposed in the literature to model the effect of frequency, stress, and temperature on iron losses. Both of these representations produce accurate results compared with the curve fitting models and can be directly implemented in finite element simulations. Unfortunately, it is very difficult to incorporate all these effects into a single iron loss model that is computationally efficient and can predict iron losses with reasonable accuracy for a given range of these parameters. In this paper, an effort has been made to establish a relationship between JA and Preisach models and an interpolation-based approach is presented to predict iron losses that utilizes the Preisach model on top of the JA model and incorporates all of the above factors. It is shown that iron loss can be predicted accurately for any value of frequency, stress, and temperature.
Keywords :
curve fitting; ferromagnetic materials; finite element analysis; interpolation; iron; magnetic hysteresis; magnetic leakage; stress effects; Fe; JA model; Jiles-Atherton models; Preisach models; curve fitting models; ferromagnetic materials; finite element simulation; frequency effect; hysteresis models; interpolation-based approach; iron loss; single iron loss model; stress effect; temperature effect; Computational modeling; Iron; Magnetic hysteresis; Magnetization; Mathematical model; Predictive models; Stress; Electrical machines; ferromagnetic materials; hysteresis; iron losses; loss model;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2014.2360529
Filename :
7093486
Link To Document :
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