【作者】 李刚；

【导师】 张丹红；

【作者基本信息】 武汉理工大学 ， 控制科学与工程， 2021， 硕士

【摘要】 潜艇的磁场是其暴露自己的主要物理场,随着磁场探测技术的发展,各种水下和航空磁探仪对潜艇的生存环境造成了很大的威胁,因此对潜艇磁场的分布情况及其消磁方法进行研究对于提高潜艇的安全性能具有重要的意义。目前,潜艇感应磁场主要的消除手段是在潜艇上安装固定的消磁绕组线圈,通过消磁系统控制消磁电流的大小,使消磁绕组线圈产生的磁场对潜艇的磁场进行补偿,以此来达到给潜艇消磁的目的。在消磁绕组线圈布置好之后,潜艇消磁系统的消磁效果便直接取决于对消磁电流的控制情况。为了提高潜艇消磁系统的消磁效果,增强潜艇的安全性能,本文提出了一种改进后的多目标布谷鸟算法,其主要改进策略是引入了非线性惯性权重和动态发现概率以提高算法的搜索精度和收敛速度,并结合非支配层级排序思想以及拥挤度比较算子来提高最优解分布的多样性及均匀性。仿真结果表明,改进后的算法的性能有了很大的提升,能有效的求解多目标优化问题。其次,对潜艇磁场建模方法进行了研究。研究潜艇磁场的分布情况是对潜艇进行消磁电流优化的前提。本文使用布谷鸟搜索算法优化磁偶极子与旋转椭球体混合模型,并建立了潜艇磁场的有限元分析模型。仿真实验结果表明,通过优化磁偶极子的位置分布,使模型系数矩阵的条件数下降了90%左右,拟合误差下降了60%左右,为后续潜艇消磁电流的优化提供了数据来源。最后,对潜艇消磁电流的多目标优化模型进行研究,并提出了基于多分量和多平面的潜艇消磁电流优化。在研究并建立了潜艇消磁绕组线圈模型的基础上,将改进后的多目标布谷鸟算法应用于潜艇消磁电流的优化中。仿真结果表明,该算法在消磁电流的优化中能取得了良好的效果,通过仿真数据对比,说明了基于多分量和多平面的消磁电流优化增加了潜艇消磁电流的消磁效果,对于潜艇磁场隐身工程的发展具有一定的指导意义。更多还原

【Abstract】 The submarine’s magnetic field is the main physical field that it exposes itself.With the development of magnetic field detection technology,various underwater and aerial magnetic detectors pose a great threat to the submarine’s living environment.Therefore,the submarine’s magnetic field distribution and its Research on degaussing methods is of great significance for improving the safety performance of submarines.At present,the main method to eliminate the submarine’s induced magnetic field is to install a fixed degaussing winding coil on the submarine,and control the size of the degaussing current through the degaussing system,so that the magnetic field generated by the degaussing winding coil compensates for the submarine’s magnetic field,thereby degaussing the submarine.After the degaussing winding coil is arranged,the degaussing effect of the submarine degaussing system directly depends on the control of the degaussing current.In order to improve the degaussing effect of the submarine degaussing system and enhance the safety performance of the submarine.This paper proposes an improved multi-objective cuckoo algorithm.Its main improvement strategy is to introduce nonlinear inertial weights and dynamic discovery probability to improve the search accuracy and convergence speed of the algorithm,and combine the idea of non-dominated hierarchical sorting and crowding degree comparison Operator to improve the diversity and uniformity of the optimal solution distribution.The simulation results show that the performance of the improved algorithm has been greatly improved,and it can effectively solve the multi-objective optimization problem.Secondly,the method of submarine magnetic field modeling is studied.Studying the distribution of the submarine’s magnetic field is the prerequisite for optimizing the submarine’s degaussing current.In this paper,the cuckoo search algorithm is used to optimize the mixed model of magnetic dipole and spheroid,and a finite element analysis model of the submarine is established.The simulation experiment results show that by optimizing the position distribution of the magnetic dipole,the model condition number is reduced by about 90%,and the fitting error is reduced by about60%,which provides a data source for the subsequent optimization of the submarine demagnetization current.Finally,the multi-objective optimization model of submarine degaussing current is studied,and the submarine degaussing current optimization based on multi-component and multi-plane is proposed.Based on the research and establishment of the submarine degaussing winding coil model,the improved multi-objective cuckoo algorithm is applied to the submarine degaussing current optimization.The simulation results show that the algorithm can achieve good results in the optimization of the degaussing current.The comparison of simulation data shows that the degaussing current optimization based on multi-component and multi-plane increases the degaussing effect of the submarine degaussing current,which is useful for the submarine magnetic field stealth project.The development of the company has certain guiding significance.更多还原