在港口和船舶密度高的航线上,船舶之间发生碰撞事故的概率比较高,尤其是船舶在会遇过程中,航向角的判断、船舶操作人员的反应快慢等,都是造成船舶碰撞事故发生的因素。传统的船舶避碰控制以人为操作和经验为主,避碰控制水平相对较低。本文将研究重点放在多规则约束条件下的船舶实时避碰算法开发上,定义了船舶实时避碰控制过程的关键参数,如航向偏差、路径偏差等。结合船舶避碰过程的数学建模和算法控制,基于Matlab软件实现了船舶的避碰控制和路径规划,具有一定应用意义。
The probability of collision accidents between ships is relatively high in ports and routes with high ship density. Especially in the course of collision, the judgment of heading Angle and the response speed of ship operators are all factors causing ship collision accidents. Traditional ship collision avoidance control is based on human operation and experience, and the level of collision avoidance control is relatively low. This paper focuses on the development of real-time collision avoidance algorithm for ships under the condition of multi-rule constraints, defines the key parameters of real-time collision avoidance control process for ships, such as course deviation, path deviation, etc. Combined with the mathematical modeling and algorithm control of ship collision avoidance process, the ship collision avoidance control and path planning is realized based on matlab software, which has important application significance.
2023,45(14): 164-167 收稿日期:2023-3-13
DOI:10.3404/j.issn.1672-7649.2023.14.032
分类号:U642.58
作者简介:张哲(1975-),男,硕士,副教授,研究方向为航海技术、水上交通安全控制及航海教育。
参考文献:
[1] 陈立家, 孙中泽, 黄立文, 等. 一种基于深度强化学习的船舶智能避碰方法[J]. 武汉理工大学学报(交通科学与工程版), 2023, 47(1): 191–196
CHEN Li-jia, SUN Zhong-ze, HUANG Li-wen, et al. An intelligent collision avoidance method for ships based on deep reinforcement Learning[J]. Journal of Wuhan University of Technology (Transportation Science and Engineering Edition), 2023, 47(1): 191–196
[2] 隋丽蓉, 高曙, 何伟. 基于多智能体深度强化学习的船舶协同避碰策略[J]. 控制与决策, 2023, 38(5): 1395–1402
[3] 张英俊, 翟鹏宇. 海运船舶自主避碰技术研究进展与趋势[J]. 大连海事大学学报, 2022, 48(3): 1–11
[4] 李丽娜, 陈国权, 杨凌波, 等. 船舶拟人智能避碰决策算法测试及应用[J]. 中国航海, 2022, 45(1): 1–7
LI Li-na, CHEN Guo-quan, YANG Ling-bo, et al. Testing and application of intelligent collision avoidance algorithm for ships[J]. Navigation of China, 2022, 45(1): 1–7
[5] 谢鸿伟, 张英俊, 邢胜伟, 等. 基于模型预测控制的船舶自主避碰方法[J]. 船舶工程, 2019, 43(8): 23–28+95
XIE Hong-wei, ZHANG Ying-jun, XING Sheng-wei, et al. Ship autonomous collision avoidance method based on model predictive control[J]. Ship Engineering, 2019, 43(8): 23–28+95
[6] 周凤杰. 船舶避碰的粒子群-遗传(PSO-GA)的混合优化算法研究[J]. 船舶力学, 2021, 25(7): 909-916.
ZHOU Feng-jie. Research on hybrid optimization algorithm of particle swarm genetics (PSO-GA) for ship collision avoidance [J]. Ship Mechanics, 21, 25(07): 909-916.