无人水下航行器
潜艇
转弯半径
水下
路径(计算)
工程类
遗传算法
海洋工程
计算机科学
航空航天工程
地质学
海洋学
机器学习
程序设计语言
作者
Wenjun Ding,Hui Cao,Hai‐Fu Guo,Yiwei Ma,Zhaoyong Mao
标识
DOI:10.1016/j.compeleceng.2019.106468
摘要
Unmanned underwater vehicle (UUV) is one of the significant equipment for underwater anti-submarine warfare. In this paper, the optimal anti-submarine search path of a UUV is investigated through maximizing the cumulative detection probability (CDP). The mathematical programming model for optimal UUV search path is established by utilizing an adaptive mutation genetic algorithm (AMGA). The enemy submarine is described as a Markovian target. The search radius and search width of the UUV are considered. In simulation analysis, an approximately logarithmic spiral path is found. Moreover, the influence of different parameters, such as detection distance, different initial distance, different detection velocity, and different escape velocity, on the CDP is revealed. The results indicate that the optimal UUV search path is effective and suggestive for anti-submarine operation.
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