A data-driven model for magnetostatics

Bachelor thesis (2018)

Authors

M.W. Schaaphok Electrical Engineering, Mathematics and Computer Science

Contributors

A.R.P.J. Vijn Mathematical Physics - EEMCS (mentor)
A.W. Heemink Mathematical Physics - EEMCS (mentor)
B. van den Dries Analysis - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2018 Marianne Schaaphok
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Published Date

12-07-2018

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This research presents a data-driven model for the magnetic signature of an object, consisting of linearly reacting isotropicmaterial. From magnetostatics mathematical-physical model is derived for the linear behaviour of the induced magnetization. Data-driven updates for the permanent magnetization are computed from comparisons of the computed magnetic field with measurements from onboard sensors, in order to describe magnetic hysteresis. In order to improve the solutions for ill-posed inverse problems, the Tikhonov regularization method is studied. Furthermore, the performance of the model is examined by a number of twin experiments.