An Algorithm for Path Planning of Autonomous Ships Considering the Influence of Wind and Wave

Aiming at the problem that external factors such as wind, waves and currents are not considered in the path planning of autonomous sailing ships, which affect the safety of navigation, an improved particle swarm optimization algorithm is proposed. Introduce adaptive inertia weight to improve the con...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-11, Vol.2083 (3), p.32028
Main Authors: Zhou, Yucheng, Gong, Yan, Geng, Xiongfei, Li, Dongsheng, Gao, Beili, Li, Chunxu
Format: Article
Language:English
Subjects:
autonomous navigation
particle swarm optimization (PSO) algorithm
path planning
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Summary:Aiming at the problem that external factors such as wind, waves and currents are not considered in the path planning of autonomous sailing ships, which affect the safety of navigation, an improved particle swarm optimization algorithm is proposed. Introduce adaptive inertia weight to improve the convergence of the algorithm, wind and wave influence factors in the algorithm fitness function, increase the wind and wave resistance of the path, and improve the safety of the path. MATLAB simulation experiment results show that the optimized PSO algorithm can obtain the global optimal path and improve the safety of the path.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2083/3/032028