飞行器编队PSO多维地磁匹配算法

Multi-dimensional PSO Geomagnetic Matching Algorithm for Aircraft Formation

针对在地磁变化缓慢区域,一维地磁匹配导航匹配概率低、使用范围有限的情况,在飞行器组网飞行的背景下,提出了基于粒子群优化算法(PSO)的多维地磁匹配算法。在一维地磁匹配模型的基础上,搭建了主从式组网地磁匹配模型,利用多飞行器空间约束,将平均绝对值误差法则从一维计算拓展至高维匹配,使用匹配成功率、匹配定位误差和算法适应度3个维度对定位有效性进行评价。仿真结果表明,多维地磁匹配能够在短周期内得到较高的匹配概率和匹配定位精度,在相同的匹配点下,多维地磁匹配的匹配概率比一维地磁匹配要高10%。

In the area where the geomagnetic change is slow the one-dimensional geomagnetic matching navigation has a low matching probability and limited application range.Aiming at the problem a multi-dimensional geomagnetic matching algorithm based on PSO is proposed for aircraft networking flight.Based on the single-dimensional geomagnetic matching model a master-slave networking geomagnetic matching model is established.Using multiple aircraft space constraints the average absolute error rule is extended from one-dimensional calculation to high-dimensional matching.The positioning effectiveness is evaluated from three aspects of successful matching rate matching error and algorithm fitness.Simulation results show that the multi-dimensional geomagnetic matching can obtain higher matching probability and matching positioning accuracy in a short period with a matching rate 10%higher than that of single-dimensional geomagnetic matching at the same matching point.