Step-by-Step Multi-Ship Collision Avoidance Navigation Path Planning Based on Particle Swarm Optimization

In order to solve the problem that it is difficult to combine path planning with navigation rules in the process of multi-ship collision avoidance in wide waters, a step-by-step multi-ship collision avoidance path planning algorithm is proposed in this paper. Firstly, the obstacle ship is regarded a...

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Main Author: Canglong Zhao
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2022/5360674
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author Canglong Zhao
author_facet Canglong Zhao
author_sort Canglong Zhao
collection DOAJ
description In order to solve the problem that it is difficult to combine path planning with navigation rules in the process of multi-ship collision avoidance in wide waters, a step-by-step multi-ship collision avoidance path planning algorithm is proposed in this paper. Firstly, the obstacle ship is regarded as a static obstacle, and the static path planning is carried out by using the particle swarm optimization path planning algorithm in polar coordinate space combined with the field of ship safety to obtain the turning point of ship collision avoidance. Then, the steering angle of the steering point is dynamically corrected by using the navigation rules. The experimental results show that the particle swarm optimization algorithm finds an optimal path in about 35 iterations, and the shortest path is 38.4 n miles. Conclusion. The algorithm can solve the problem of multi-ship collision avoidance path planning and provide a new idea for solving the problem of multi-ship collision avoidance.
format Article
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institution Kabale University
issn 1687-5257
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publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Control Science and Engineering
spelling doaj-art-63dcb95428a1491fb0cc47c8a45e26272025-02-03T06:11:55ZengWileyJournal of Control Science and Engineering1687-52572022-01-01202210.1155/2022/5360674Step-by-Step Multi-Ship Collision Avoidance Navigation Path Planning Based on Particle Swarm OptimizationCanglong Zhao0Jiangsu Shipping CollegeIn order to solve the problem that it is difficult to combine path planning with navigation rules in the process of multi-ship collision avoidance in wide waters, a step-by-step multi-ship collision avoidance path planning algorithm is proposed in this paper. Firstly, the obstacle ship is regarded as a static obstacle, and the static path planning is carried out by using the particle swarm optimization path planning algorithm in polar coordinate space combined with the field of ship safety to obtain the turning point of ship collision avoidance. Then, the steering angle of the steering point is dynamically corrected by using the navigation rules. The experimental results show that the particle swarm optimization algorithm finds an optimal path in about 35 iterations, and the shortest path is 38.4 n miles. Conclusion. The algorithm can solve the problem of multi-ship collision avoidance path planning and provide a new idea for solving the problem of multi-ship collision avoidance.http://dx.doi.org/10.1155/2022/5360674
spellingShingle Canglong Zhao
Step-by-Step Multi-Ship Collision Avoidance Navigation Path Planning Based on Particle Swarm Optimization
Journal of Control Science and Engineering
title Step-by-Step Multi-Ship Collision Avoidance Navigation Path Planning Based on Particle Swarm Optimization
title_full Step-by-Step Multi-Ship Collision Avoidance Navigation Path Planning Based on Particle Swarm Optimization
title_fullStr Step-by-Step Multi-Ship Collision Avoidance Navigation Path Planning Based on Particle Swarm Optimization
title_full_unstemmed Step-by-Step Multi-Ship Collision Avoidance Navigation Path Planning Based on Particle Swarm Optimization
title_short Step-by-Step Multi-Ship Collision Avoidance Navigation Path Planning Based on Particle Swarm Optimization
title_sort step by step multi ship collision avoidance navigation path planning based on particle swarm optimization
url http://dx.doi.org/10.1155/2022/5360674
work_keys_str_mv AT canglongzhao stepbystepmultishipcollisionavoidancenavigationpathplanningbasedonparticleswarmoptimization