NDLI: Efficient mixed-domain behavioural modelling of ferromagnetic hysteresis implemented in VHDL-AMS

Content Provider	IEEE Xplore Digital Library
Author	Wilson, P.R. Ross, J.N. Brown, A.D. Kazmierski, T. Baranowski, J.
Copyright Year	2004
Description	Author affiliation: Southampton Univ., UK (Wilson, P.R.; Ross, J.N.; Brown, A.D.; Kazmierski, T.)
Abstract	In this paper, a modified model of ferromagnetic hysteresis suitable for mixed-signal simulations in VHDL-AMS is presented. The aim of this paper is to demonstrate how a numerically stable and accurate implementation of the Jiles-Atherton model can be achieved using a 4th order Runga-Kutta integration of the derivative of magnetization with respect to the field strength (H). While most SPICE-like implementations require inconvenient integration in time to obtain the magnetization derivative, our approach is more general as it does not rely on the underlying differential equation solver for this purpose. The model addresses the non-physical situation of negative BH slopes and proposes an alternative implementation of the anhysteretic function using a polynomial approximation of the Langevin function for low signal levels and a new function with no discontinuities. Model efficiency is improved by monitoring the change in H and only activating the integration function when H changes by a specified amount.
Sponsorship	EDAA, EDA Consortium, IEEE Comput. Soc. TTTC IEEE Comput. Soc. DATC ECSI ACM/SIGDA RAS
Starting Page	742
Ending Page	743
File Size	224846
Page Count	2
File Format	PDF
ISBN	0769520855
ISSN	15301591
DOI	10.1109/DATE.2004.1268957
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-02-16
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetic hysteresis Magnetic materials Circuit simulation Saturation magnetization Differential equations Polynomials Monitoring Convergence Optimization methods Magnetic variables control
Content Type	Text
Resource Type	Article

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