基于倾斜关联筛选的船舶分区消磁绕组部署及消磁电流优化策略

doi:10.16183/j.cnki.jsjtu.2022.417

上海交通大学学报 ›› 2024, Vol. 58 ›› Issue (7): 1018-1026.doi: 10.16183/j.cnki.jsjtu.2022.417

基于倾斜关联筛选的船舶分区消磁绕组部署及消磁电流优化策略

田野¹, 余墨多¹(), 黄文焘¹, 邰能灵¹, 牛璐²

1.上海交通大学电子信息与电气工程学院, 上海 200240
2.中国船舶工业公司第七〇八研究所, 上海 200011

收稿日期:2022-10-20 修回日期:2022-12-06 接受日期:2023-01-10 出版日期:2024-07-28 发布日期:2024-07-26
通讯作者: 余墨多,助理研究员;E-mail:379440278@sjtu.edu.cn.
作者简介:田野(1996-),硕士生,从事船舶消磁研究.

Degaussing Coil Deployment and Degaussing Current Optimization Strategy for Ship Partition Based on Tilted Correlation Screening

TIAN Ye¹, YU Moduo¹(), HUANG Wentao¹, TAI Nengling¹, NIU Lu²

1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
2. Marine Design and Research Institute of China, Shanghai 200011, China

Received:2022-10-20 Revised:2022-12-06 Accepted:2023-01-10 Online:2024-07-28 Published:2024-07-26

摘要/Abstract

摘要：

在现代舰船消磁系统中,消磁绕组主要基于舰船舱壁的形状进行分布,难以保证每个消磁绕组的消磁效果.为解决这一问题,引入一种高维变量筛选中的倾斜关联筛选方法,选择合适的阈值,将原有绕组进行拆分重组,对原有消磁区段进行重新划分,进而改善每个绕组的单位绕组磁感应强度.针对绕组重组后消磁电流计算时存在的参数向量稀疏和多重共线的问题,提出了倾斜关联筛选-部分岭回归算法,通过仿真可知,在阈值为0.73和0.91时,该算法相较最小二乘法消磁误差最大幅值分别减小了10.08%和17.59%,而剩余均方根误差分别减小了10.45%和12.17%.根据仿真结果可知,采用该算法后消磁效果得到明显提升.

关键词: 船舶消磁, 倾斜关联筛选, 最小二乘法, 部分岭回归, 区段划分

Abstract:

In modern ship degaussing systems, degaussing windings are mainly distributed based on the shape of ship bulkhead, which is difficult to ensure the degaussing effect of magnetic induction intensity of unit winding of each degaussing winding. In order to solve this problem, this paper introduces a tilted correlation screening in high-dimensional variable filter, which splits and recombines the original coils, and re-divides the original degaussing sections, so as to improve the degaussing efficiency of each coil. Aiming at the problem of sparse parameter vectors and multiple collinearity in the calculation of degaussing current after winding restructuring, this paper proposes a slant correlation screening and partial ridge regression algorithm. Through simulation, when the threshold is 0.73 and 0.91, the algorithm reduces 10.08% and 17.59% respectively compared with the least square method, while the residual root mean square error decreases by 10.45% and 12.17%. The simulation results show that the degaussing effect is significantly improved after the algorithm is adopted.

Key words: ship degaussing, tilted correlation screening, least square method, partial ridge regression, section partition

中图分类号:

U665.18

田野, 余墨多, 黄文焘, 邰能灵, 牛璐. 基于倾斜关联筛选的船舶分区消磁绕组部署及消磁电流优化策略[J]. 上海交通大学学报, 2024, 58(7): 1018-1026.

TIAN Ye, YU Moduo, HUANG Wentao, TAI Nengling, NIU Lu. Degaussing Coil Deployment and Degaussing Current Optimization Strategy for Ship Partition Based on Tilted Correlation Screening[J]. Journal of Shanghai Jiao Tong University, 2024, 58(7): 1018-1026.

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参数	取值
长度/m	150
宽度/m	14
高度/m	23
船壳厚度/mm	7
船壳相对磁导率,μ_r	260
地磁场大小,B_Earth/μT	50

绕组序号	关联度	绕组序号	关联度
L1-L2	0.769 362	L13-L14	0.962 847
L2-L3	0.591 805	L14-L15	0.781 647
L3-L4	0.910 071	L15-L16	0.536 287
L4-L5	0.613 498	L16-L17	0.419 504
L5-L6	0.872 680	L17-L18	0.873 163
L6-L7	0.640 723	L18-L19	0.918 340
L7-L8	0.749 592	L19-L20	0.714 019
L8-L9	0.829 750	L20-L21	0.953 347
L9-L10	0.696 601	L21-L22	0.826 416
L10-L11	0.797 570	L22-L23	0.530 558
L11-L12	0.943 900	L23-L24	0.945 969
L12-L13	0.701 524

绕组分类	消磁误差最大幅值/T	剩余均方根误差/T	线圈数量
原绕组	3.48×10^-6	1.13×10^-10	12
第6次迭代结果(阈值0.91)	8.47×10^-7	1.15×10^-11	23
第12次迭代结果(阈值0.73)	9.22×10^-7	1.53×10^-11	17

消磁电流计算方法	阈值0.91		阈值0.73
消磁电流计算方法	消磁误差最大幅值/T	剩余均方根误差/ T	消磁误差最大幅值/T	剩余均方根误差/ T
最小二乘法	8.47×10^-7	1.15×10^-11	9.22×10^-7	1.53×10^-11
广义岭回归	8.02×10^-7	1.08×10^-11	9.01×10^-7	1.45×10^-11
部分岭回归	6.98×10^-7	1.01×10^-11	8.29×10^-7	1.37×10^-11

基于倾斜关联筛选的船舶分区消磁绕组部署及消磁电流优化策略

Degaussing Coil Deployment and Degaussing Current Optimization Strategy for Ship Partition Based on Tilted Correlation Screening

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