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

doi:10.16183/j.cnki.jsjtu.2022.417

Abstract

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

CLC Number:

U665.18

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.

Figures/Tables 17

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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