Machine learning techniques in magnetic levitation problems

被引：0
|
作者：
Arrayas, Manuel [1 ]
Trueba, Jose L. [1 ]
Uriarte, Carlos [1 ]
机构：
[1] Univ Rey Juan Carlos, Area Electromagnetismo, Tulipdn S-N, Madrid 28933, Spain
来源：
CHAOS SOLITONS & FRACTALS | 2023年 / 167卷
关键词：
Magnetic levitation; Machine learning; Stability regions;
D O I：
10.1016/j.chaos.2022.113043
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
We present a method for calculating the stability region of a perfect diamagnet levitated in a magnetic field created by a circular current loop making use of the machine learning techniques. As an application we compute stability regions, points of stable equilibrium and stable oscillatory motions in two chip-based superconducting trap architectures used to levitate superconducting particles. Our procedure is an alternative to a full numerical scheme based on finite element methods which are expensive to implement for optimizing experimental parameters.
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页数：4
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