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On this page you can find Preisach hysteresis models implemented in Matlab.

With these codes you can:

- approximate measured hysteresis loops
- simulate arbitrary minor hysteresis loops
- plot the Preisach function, the Everett function, the reversible component

1. Classical Preisach model with pointwise Everett function

       - Preis_class_point.zip
       - Algorithm_Preis_class_point.pdf

2. Preisach models with closed form Everett function 

The Preisach function is considered as a product of two special one dimensional functions, which allows the analytical evaluation of the Everett integral. The derived expressions are included in static and dynamic hysteresis models, which are fast enough to be incorporated in electromagnetic software.

       - Preis_class_AnEv.zip (with Matlab GUI, optimization to fit measured data)
       - Preis_class_AnEv_a.zip (can be run with Octave/Matlab, plots the static loops presented at Compumag 2015) 
       - Algorithm_Preis_class_AnEv.pdf

3. Dynamic hysteresis model with Everett function and susceptibily in closed form 

- Preis_dyn_AnEv_ORSI.zip (can be run with Octave/Matlab, plots the dynamic loops presented at Compumag 2015) 


If you find the codes usefull, please cite the following papers:

[1] Zs. Szabó, J. Füzi, "Implementation and Identification of Preisach type Hysteresis Models with Everett Function in Closed Form", Journal of Magnetism and Magnetic Materials, vol. 406, 15 pp. 251–258, 2016.
[2] Zs. Szabó, “Preisach Functions Leading to Closed Form Permeability“, Physica B, vol. 372, pp. 61-67, 2006.
[3] Zs. Szabó, I. Tugyi, Gy. Kádár, J. Füzi, "Identification Procedures for Scalar Preisach Model", Physica B, vol. 343, pp. 142-147, 2004.
[4] Zs. Szabó, J. Füzi, A. Iványi, “Magnetic Force Computation with Hysteresis“, COMPEL, vol. 24, pp. 1013-1022, 2005.


********************************************************************
 Author: Dr. Zsolt Szabó

 These softwares are "as-are" and carries no warranty.  They can be used without restriction for research and education purposes. 
 Bug reports: Zsolt Szabó, szabo.zsolt@itk.ppke.hu
 Updated 16 November, 2021.
********************************************************************

Acknowledgement

This work has been partially supported by the 'Bolyai János' research fellowship of the Hungarian Academy of Sciences.
Source: readme.txt, updated 2021-11-16