Research on Ship Magnetic Field Modelling Based on Particle Swarm Optimization Algorithm

The ship’s magnetic field is a significant source of exposure, and obtaining the characteristics of its magnetic field distribution in the entire space is a prerequisite for enhancing the ship’s magnetic stealth performance. To address the variability of the ship’s magnetic field across different orientations, a modeling method for the ship’s magnetic field based on the Particle Swarm Optimization (PSO) algorithm is proposed, leveraging theoretical magnetic field data from parametric models. An array model of magnetic dipoles for the ship’s magnetic field is established. With the root mean square error of the modeled magnetic field as the objective function, the PSO algorithm is employed to optimize the magnetic moment parameters, yielding an optimal array of magnetic dipoles. Experiments are then designed to validate the approach. The experimental results demonstrate that the proposed method can conveniently, effectively, and accurately simulate the target magnetic field of the ship, with a minimum similarity of $\mathbf{9 5. 2 \%}$ for the three-component magnetic field modeling.