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为了得到准确的舰船磁模型,对基于微粒群(PSO)算法的舰船磁模型进行了分析.利用PSO算法对磁偶极子位置进行优化,得到了舰船磁偶极子阵列模型,同时对目标函数不同时磁模型的差异进行了分析,进而对磁偶极子分布范围和换算方向对舰船磁模型的影响进行了研究.实验结果表明:基于PSO算法的舰船磁模型具有较高的模拟精度,选择合适的目标函数和磁偶极子分布范围可以得到精确而稳定的舰船磁模型,利用磁模型向远距离换算比向近距离换算要准确.
In order to obtain accurate ship magnetic model, the ship magnetic model based on Particle Swarm Optimization (PSO) algorithm is analyzed.Using PSO algorithm to optimize the position of magnetic dipole, the ship magnetic dipole array model is obtained, meanwhile, The difference of the magnetic model when the objective function is different is analyzed, and the influence of the magnetic dipole distribution range and conversion direction on the ship magnetic model is also studied. The experimental results show that the ship magnetic model based on the PSO algorithm has higher The accuracy and stability of the ship’s magnetic model can be obtained by selecting the appropriate objective function and the distribution range of magnetic dipole. The use of magnetic model to convert from long-range to short-range is accurate.