基于蚁群算法的无人水下航行器扫海弹道研究  

Research on Scanning Path of UUV Based on ACA

作　　者：李卫民 

机构地区：[1]海军驻昆明地区军事代表办事处,云南昆明650000

出　　处：《科技广场》2017年第4期16-19,共4页Science Mosaic

摘　　要：本文针对水下无人航行器扫海弹道规划问题进行了分析和计算。考虑到侦察型水下无人航行器的特点,首先将侦察海域进行数字化网格处理,运用蚁群算法求解最优扫海弹道,并与传统扫海弹道进行比较分析,证明基于蚁群算法的扫海弹道在扫海效率和覆盖率上均优于传统弹道。Analysis and calculation of scanning path of unmanned underwater vehicles（UUV） are carried out in this paper. Considering reconnoiter UUV＇s characteristics, the digital grid processing of sea area is carried out firstly.Then, approaches based on ant colony algorithm are presented for optimal scanning sea path. The effectiveness of the searching algorithm is illustrated through simulated results, and efficiency is higher than that of traditional random scanning path.

关 键 词：水下无人航行器 扫海弹道 蚁群算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]