Multidirectional magnetic field decoupling model based on Particle Swarm Optimization

被引：0

作者：

Zhang, Leran ^{[1
]}

Shi, Minxia ^{[1
]}

Yang, Jianzhi ^{[1
]}

Shi, Ziyang ^{[1
]}

Ma, Yuzheng ^{[1
]}

Zhang, Ao ^{[1
]}

机构：

[1] Beihang Univ, Sch Instrumentat Sci & Optoelect Engn, Beijing, Peoples R China

来源：

2024 IEEE 21ST BIENNIAL CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION, CEFC 2024 | 2024年

关键词：

Magnetic field coupling; magnetic field control; Particle Swarm Optimization algorithm;

D O I：

10.1109/CEFC61729.2024.10585666

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Active magnetic compensation is required to achieve near-zero magnetic environment for Magnetocardiography (MCG). The coupling relations between the magnetic fields of passive field cause difficulties in compensation. In this paper, we establish a multidirectional magnetic field decoupling model which build adjustive vector and unidirectional magnetic field matrix (AV-UMFM) equations. Based on Particle Swarm Optimization (PSO) algorithm, the adjustive vector of the model can be acquired despite ill-conditioned problems. Finally, adjustive vector controls currents to simultaneously compensate for multidirectional residual magnetic fields and builds magnetic compensation system.

引用

页数：2

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