Investigation on optimal path for submarine search by an unmanned underwater vehicle

Wenjun Ding; Hui Cao; Hui Guo; Yan Ma; Zhaoyong Mao

doi:10.1016/j.compeleceng.2019.106468

Investigation on optimal path for submarine search by an unmanned underwater vehicle

Wenjun Ding, Hui Cao, Hui Guo, Yan Ma, Zhaoyong Mao

Unmanned System Research Institute

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

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.

Original language	English
Article number	106468
Journal	Computers and Electrical Engineering
Volume	79
DOIs	https://doi.org/10.1016/j.compeleceng.2019.106468
State	Published - Oct 2019

Keywords

Adaptive mutation genetic algorithm (AMGA)
Anti-submarine search
Optimal path
Unmanned underwater vehicle (UUV)

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10.1016/j.compeleceng.2019.106468

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title = "Investigation on optimal path for submarine search by an unmanned underwater vehicle",

abstract = "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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author = "Wenjun Ding and Hui Cao and Hui Guo and Yan Ma and Zhaoyong Mao",

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T1 - Investigation on optimal path for submarine search by an unmanned underwater vehicle

AU - Ding, Wenjun

AU - Cao, Hui

AU - Guo, Hui

AU - Ma, Yan

AU - Mao, Zhaoyong

PY - 2019/10

Y1 - 2019/10

N2 - 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.

AB - 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.

KW - Adaptive mutation genetic algorithm (AMGA)

KW - Anti-submarine search

KW - Optimal path

KW - Unmanned underwater vehicle (UUV)

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Investigation on optimal path for submarine search by an unmanned underwater vehicle

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Keywords

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