采用多种群搜索策略的微粒群算法调整消磁绕组

目前,常用的消磁系统调整方法一般都是针对舰艇磁场进行的,而较少考虑磁场梯度。为改善舰艇的磁隐身性能,应当同时考虑两者的有效衰减,由此确定的电流优化调整问题为多目标优化问题。为解决该问题,首先采用一种基于多种群搜索策略的微粒群算法分别求解两类目标函数的最优值,并将这两类最优值作为目标函数的归一化常数,然后选取一组适当的权重将多目标优化问题转化为单目标优化问题,并采用多种群微粒群算法求解该单目标优化问题。最后,采用一个典型的消磁系统优化调整问题来验证方法的有效性。实验结果表明:该方法不但能够实现舰船磁信号的削减,同时还能有效抑制舰船磁信号的波动。

Optimization of ship degaussing system by using multi-population PSO

Now common adjustment methods of degaussing system are concerned with a ship′s magnetic field but seldom refer to its magnetic gradient.In order to improve its magnetic silence perfor-mance,the attenuation of both its magnetic field and gradient should be taken into account.In this case,the current optimization problem is treated as a multi-objective optimization problem.In order to solve this problem,it is necessary to calculate a set of scale factors by optimizing the two different objective functions according to the multi-population particle swarm optimization(M-PSO) so as to obtain the two kinds of objective function.Then the multi-objective optimization is transformed to a single objective optimization via a set of proper weights so that M-PSO can solve the problem.Finally,a typical ship degaussing system is used to test the method.The results show that both the ship′s magnetic field and its gradient can be attenuated.