A data-driven model for magnetostatics
M.W. Schaaphok (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Aad Vijn – Mentor (TU Delft - Mathematical Physics)
Arnold W. Heemink – Mentor (TU Delft - Mathematical Physics)
B. van den Dries – Graduation committee member (TU Delft - Analysis)
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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.