基于改进微粒群算法的磁靶电流参数优化调整  

The adjustment of magnetic target's current based on the modified particle swarm optimization algorithm

作　　者：连丽婷[1] 杨明明[1] 孙开江 

机构地区：[1]中国人民解放军91388部队 [2]长江武汉航道局

出　　处：《舰船科学技术》2015年第3期73-76,共4页Ship Science and Technology

基　　金：国家海洋专项基金资助项目(420050101)

摘　　要：为克服基本微粒群算法易早熟的缺点,建立一种基于改进微粒群算法的磁靶电流参数优化调整模型。该方法采用一种非线性递减函数对惯性权重参数进行调整,并通过绘制的磁场模拟精度随电流参数个数的变化趋势图,确定一定精度要求下的最佳电流参数个数。仿真结果表明,通过该方法优化电流参数后,不仅保证了磁靶的模拟精度,而且所需的电流个数最少,符合工程实际。The problem of adjustment of magnetic target＇s current is the most important parameter for target,because the result decide the effect of both target＇s simulate and provide target. In order to overcome the difficulty that standard particle swarm optimization algorithm is easy to be premature convergence,an adjustment model of magnetic target＇ s current which is based on the Modified Particle Swarm Optimization（MPSO） algorithm has been proposed in this paper. With this method,we use a nonlinear function to adjust the inertia weight in order to improve the ability of getting out of the local optimization and we can get the best values with the least number of current according to a trend line of error and number of current. At last,the good result has been validated by a simulation.

关 键 词：磁靶 电流 改进微粒群 惯性权重 

分 类 号：TM153.1[电气工程—电工理论与新技术]