基于遗传算法的潜艇三维模型及其磁场延拓方法

Application of Genetic Algorithm in Continuation of Magnetic Field of Submarines in High Areas

为了综合分析潜艇的高空磁特征分布,基于潜艇上方近场测量数据,采用磁体模拟法建立了潜艇磁场三维模型。针对磁体的个数以及位置常依赖于人为经验的弊端,分别建立了以磁体位置和个数为未知量的优化模型,并采用全局优化能力强、稳定性好的遗传算法对优化模型进行了求解。仿真实验测试了该方法的有效性,并分析了实际测量误差对模型稳定性的影响。结果表明,该方法建模稳定性好、精度高,是一种有效的高空磁场分析方法,有一定的工程实用价值。

Magnet imitation is implied to establish the magnetic model of submarines by the measuring data near the submarines. As a result of the difficulty of the number and positions of magnets depending on people＇s experience, this paper establishes the optimum models according on the unknown number and positions of magnets, and adopts the Genetic Algorithm of whole powerful optimum capability,good stability to solve the optimum models, The experiment of simulation tests the validity of this method and analyses the influence of actual measuring errors on the stability of these models. The result indicates these models have good stability and high accuracy. This is a valid method which analyses magnets in high areas, and has some value in practical engineering.