基于粒子群算法的潜艇声诱饵防御声自导鱼雷研究  

Research on PSO algorithm of defending acoustic homing torpedo by self-propelled acoustic decoy of submarine

作　　者：侯文姝[1] 陆铭华[1] HOU Wen-shu;LU Ming-hua(Naval Submarine Academy,Qingdao 266199,China)

机构地区：[1]海军潜艇学院,山东青岛266199

出　　处：《舰船科学技术》2022年第18期185-189,共5页Ship Science and Technology

摘　　要：对于正在进行蛇形搜索的声自导鱼雷,潜艇机动规避并使用单个小口径自航式声诱饵防御,可使得潜艇和鱼雷距离较远,降低潜艇威胁。潜艇声诱饵防御声自导鱼雷是一个作战优化问题,通过建立三维仿真模型,采用基于并行计算的粒子群算法求解潜艇机动规避和声诱饵机动参数解决该问题。仿真结果表明,并行粒子群算法能够迅速解算三维模型并计算出较优的可行解,该计算结果可以用于分析各参数对仿真模型以及对仿真结果的影响,从而分析总结潜艇机动规避并使用单个自航式声诱饵防御鱼雷的规律。In order to defend S maneuver acoustic homing torpedo by single mobile acoustic decoy used by submarine,a 3D model was established and parallel PSO algorithm was used to solve this optimize problem. The simulation results showed that the feasible solution was proposed by the algorithm, and the results were using to analyse the influence of parameter on the simulation model, and then on the simulation results, in addition to summarize the rule for the commander training.

关 键 词：自航式声诱饵 鱼雷防御 并行粒子群算法 

分 类 号：TB566[交通运输工程—水声工程]