北京航空航天大学学报 ›› 2019, Vol. 45 ›› Issue (5): 980-988.doi: 10.13700/j.bh.1001-5965.2018.0524

• 论文 • 上一篇    下一篇

基于智能优化算法和有限元法的多线圈均匀磁场优化设计

吕志峰, 张金生, 王仕成, 赵欣, 李婷   

  1. 火箭军工程大学 精确制导与仿真实验室, 西安 710025
  • 收稿日期:2018-09-05 出版日期:2019-05-20 发布日期:2019-05-21
  • 通讯作者: 王仕成.E-mail:wshcheng@vip.163.com E-mail:wshcheng@vip.163.com
  • 作者简介:吕志峰 男,博士研究生。主要研究方向:地磁导航及其半实物仿真系统,导航、制导与仿真;王仕成 男,博士,教授,博士生导师。主要研究方向:导航、制导与仿真。
  • 基金资助:
    国家自然科学基金(11602296,61503393)

Optimal design of multi-coil system for generating uniform magnetic field based on intelligent optimization algorithm and finite element method

LYU Zhifeng, ZHANG Jinsheng, WANG Shicheng, ZHAO Xin, LI Ting   

  1. Precision Guidance and Simulation Lab, Rocket Force University of Engineering, Xi'an 710025, China
  • Received:2018-09-05 Online:2019-05-20 Published:2019-05-21

摘要: 针对多线圈均匀磁场优化设计中的高阶求导及优化结果可信度评估问题,提出一种基于智能优化算法和有限元法相结合的多线圈均匀磁场优化设计方法。首先,确定待优化参数,并以磁场偏差率作为目标函数;然后,采用智能优化算法对目标函数进行寻优;最后,基于优化得到的结构参数,建立相应的有限元仿真模型,检验优化结果的可信度。以2组亥姆霍兹线圈的结构参数优化为例,仿真结果表明,本文方法求得的最优参数优于传统的求导方法寻优得到的参数,且经过有限元法检验后,该优化结果的可信度得到了确认。

关键词: 磁场均匀性, 优化设计, 智能优化算法, 有限元法, 可信度评估

Abstract: To solve the problem of high-order derivation and reliability evaluation of optimization results in the multi-coil system magnetic field uniformity optimization design, an optimization design method based on intelligent optimization algorithm and finite element method is proposed. First, the parameters to be optimized are determined, and the magnetic field deviation rate is taken as the objective function. Then, the objective function is optimized by the intelligent optimization algorithm. Finally, based on the optimized structural parameters, the corresponding finite element numerical simulation model is established to verify the reliability of the optimization results. The structural parameters of two sets of Helmholtz coils are optimized. The simulation results show that the optimal parameters obtained by the proposed method are superior to the parameters obtained by traditional derivation method. And the reliability of the optimization results is confirmed by the finite element numerical method.

Key words: magnetic field uniformity, optimization design, intelligent optimization algorithm, finite element method, credibility assessment

中图分类号: 


版权所有 © 《北京航空航天大学学报》编辑部
通讯地址:北京市海淀区学院路37号 北京航空航天大学学报编辑部 邮编:100191 E-mail:jbuaa@buaa.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发