TY - UNPB
T1 - Constrained B-Spline Based Everett Map Construction for Modeling Static Hysteresis Behavior
AU - Daniels, Bram
AU - Overboom, Timo T.
AU - Zeinali, Reza
AU - Curti, Mitrofan
AU - Lomonova, Elena A.
PY - 2024/9/18
Y1 - 2024/9/18
N2 - This work presents a simple and robust method to construct a B-spline based Everett map, for application in the Preisach model of hysteresis, to predict static hysteresis behavior. Its strength comes from the ability to directly capture the Everett map as a well-founded closed-form B-spline surface expression, while also eliminating model artifacts that plague Everett map based Preisach models. Contrary to other works, that applied numerical descriptions for the Everett map, the presented approach is of completely analytic nature. In this work the B-spline surface fitting procedure and the necessary set of constraints are explained. Furthermore, the B-spline based Everett map is validated by ensuring that model artifacts were properly eliminated. Additionally, the model was compared with four benchmark excitations. Namely, a degaussing signal, a set of first-order reversal curves, an arbitrary excitation with high-order reversal curves, and a PWM like signal. The model was able to reproduce all benchmarks with high accuracy.
AB - This work presents a simple and robust method to construct a B-spline based Everett map, for application in the Preisach model of hysteresis, to predict static hysteresis behavior. Its strength comes from the ability to directly capture the Everett map as a well-founded closed-form B-spline surface expression, while also eliminating model artifacts that plague Everett map based Preisach models. Contrary to other works, that applied numerical descriptions for the Everett map, the presented approach is of completely analytic nature. In this work the B-spline surface fitting procedure and the necessary set of constraints are explained. Furthermore, the B-spline based Everett map is validated by ensuring that model artifacts were properly eliminated. Additionally, the model was compared with four benchmark excitations. Namely, a degaussing signal, a set of first-order reversal curves, an arbitrary excitation with high-order reversal curves, and a PWM like signal. The model was able to reproduce all benchmarks with high accuracy.
KW - Magnetic hysteresis
KW - Soft-magnetic materials
KW - Surface fitting
KW - Splines (mathematics)
U2 - 10.48550/arXiv.2410.02797
DO - 10.48550/arXiv.2410.02797
M3 - Preprint
VL - 2410.02797
BT - Constrained B-Spline Based Everett Map Construction for Modeling Static Hysteresis Behavior
PB - arXiv.org
ER -