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
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
收藏
页数:2
相关论文
共 50 条
  • [21] An Adaptive Particle Swarm Optimization Algorithm Based on Cloud Model
    Zhu, Jinrong
    MATERIALS AND MANUFACTURING TECHNOLOGY, PTS 1 AND 2, 2010, 129-131 : 612 - 616
  • [22] Cooperative Velocity Updating model based Particle Swarm Optimization
    Wang, Hongbo
    Zhao, Xiaoqi
    Wang, Kezhen
    Xia, Kejian
    Tu, Xuyan
    APPLIED INTELLIGENCE, 2014, 40 (02) : 322 - 342
  • [23] Particle swarm optimization LSTM based stock prediction model
    Yuan, Xueyu
    He, Chun
    Xu, Heng
    Sun, Yuyang
    2023 3RD ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS TECHNOLOGY AND COMPUTER SCIENCE, ACCTCS, 2023, : 513 - 516
  • [24] Parallel particle swarm optimization based on parallel model with controller
    Xitong Fangzhen Xuebao, 2007, 10 (2171-2176):
  • [25] Wiener model identification based on adaptive particle swarm optimization
    Hou, Zhi-Xiang
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 1041 - 1045
  • [26] PID Neural Network Decoupling Control Based on Hybrid Particle Swarm Optimization and Differential Evolution
    Ye, Hong-Tao
    Li, Zhen-Qiang
    INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING, 2020, 17 (06) : 867 - 872
  • [27] Psychological model of particle swarm optimization based multiple emotions
    Yamina Mohamed Ben Ali
    Applied Intelligence, 2012, 36 : 649 - 663
  • [28] Particle Swarm Optimization Based Load Model Parameter Identification
    Kim, Young-Gon
    Song, Hwachang
    Kim, Hong Rae
    Lee, Byongjun
    IEEE POWER AND ENERGY SOCIETY GENERAL MEETING 2010, 2010,
  • [29] Hammerstein model identification based on adaptive particle swarm optimization
    Hou, Zhixiang
    IITA 2007: WORKSHOP ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, PROCEEDINGS, 2007, : 137 - 140
  • [30] Cooperative Velocity Updating model based Particle Swarm Optimization
    Hongbo Wang
    Xiaoqi Zhao
    Kezhen Wang
    Kejian Xia
    Xuyan Tu
    Applied Intelligence, 2014, 40 : 322 - 342