Research on Locating and Searching for Missing Submersibles Based on Differential Equations and SAR-A* Algorithm
DOI:
https://doi.org/10.54097/bd8dk894Keywords:
Differential Equations, Submersible Positioning, SAR-A*.Abstract
In recent years, the application of submersibles has become increasingly widespread. The current focus of research is on real-time and accurate positioning of submersibles to cope with potential emergencies. This paper aims to establish a trajectory model for faulty submersibles. Firstly, a differential equation model for submersible dynamics is established, numerical solutions are obtained and fitted to determine the exponential relationship between velocity and time, resulting in a theoretical formula for submersible displacement. Subsequently, based on the trajectory, a probability model for the presence of targets is established using a two-dimensional Gaussian distribution. The SAR-A* algorithm is employed for regional search, combined with a greedy algorithm to obtain initial deployment points for search and rescue, thus deriving the search and rescue trajectory. This study provides theoretical support for locating and rescuing missing submersibles and is expected to play an important role in future submersible applications.
Downloads
References
Yan Jing, Zhang Zhicheng, Yang Xian et al. Joint design of underwater network system positioning and control: Research status and development trend [J]. Journal of Harbin Engineering University,2023,44(11):1950-1962.
Liu Kun, Luan Yu, Yuan Shuai et al. Design of sound source location system based on TDOA [J]. Engineering & Test,2023,63(04):50-52+79.
Feng Xisheng, Li Yiping, Xu Huixi, et al. Development of Deep-Sea Autonomous Underwater Robots and Their Applications in Resource Exploration[J]. Journal of China Nonferrous Metals, 2021, 31(10): 2746-2756.
Guo Yinjing, Meng Qingliang, Kong Fang, et al. Research Status and Prospects of AUV Path Planning Algorithms[J]. Computer Science Exploration, 2020, 14(12): 1981-1994.
Gong Hui, Ni Cui, Wang Peng, et al. Smooth Path Planning Method Based on Dijkstra Algorithm[J/OL]. Journal of Beijing University of Aeronautics and Astronautics: 1-10[2024-03-05].
Fu Lixia, Ren Yujie, Zhang Yong, et al. Path Planning of Mobile Robots Based on Improved Smooth A* Algorithm[J]. Computer Simulation, 2020, 37(8): 271-276.
Xu Xiaoqiang, Wang Mingyong, Mao Yan. Path Planning of Mobile Robots Based on Improved Artificial Potential Field Method[J]. Computer Applications, 2020, 40(12): 3508-3512.
SONG D L, YAO P. Search for static target in nonwide area by AUV: A prior data-driven strategy[J]. IEEE Systems Journal, 2021, 15(3): 1–4.
Zeng Guanghui, Zang Haipeng, Gu Zeyue. Study on the Longitudinal Motion Characteristics of Powerless Drifting Submersibles[C]// China Institute of Navigation Salvage and Rescue Professional Committee. Proceedings of the 8th China International Salvage Forum. Shanghai Pujiang Education Press, 2014: 3.
Shi Shengda. Submarine Maneuverability [M]. Beijing: National Defense Industry Press, 2021.
Lin Chaoyou, Zhu Jun. Numerical Calculation of Additional Mass of Submersible Near the Seabed[J]. Ship Engineering, 2003(01): 26-29.
Shi Shengda. Manipulability of Submersibles[M]. Beijing: National Defense Industry Press, 1995.
Sun Xiaojie, Wu Chundu, Yang Guanxue, et al. Research on Field Path Planning Based on New A* Algorithm[J]. Agricultural Equipment & Vehicle Engineering, 2024, 62(02): 8-11+24.
Cai Chang, Chen Jianfeng, Liu Fen, et al. AUV Region Coverage Path Planning in Underwater Search and Rescue Based on Prior Information[J]. Digital Ocean and Underwater Defense, 2021, 4(06): 461-468.
Enric G, Marc C. A survey on coverage path planning for robotics[J]. Robotics and Autonomous Systems, 2013, 61: 1258–1276.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







