本文研究船舶海上制导系统,重点分析船舶海上路径规划设计方法以及船舶海上目标寻迹算法,同时给出船舶在海面上受到的载荷随时间变化情况;研究船舶海上多目标检测算法,并得出训练误差随迭代次数的变化曲线。最后对船舶海上多目标主动避碰系统进行仿真测试,分析导航角度和首航偏差角随时间变化情况。
The ship navigation system is studied, and the ship path planning and design method and the ship target tracking algorithm are analyzed in detail. The algorithm of marine multi-target detection is studied, and the variation of ship neural network training error with the number of iterations is obtained; Finally, the simulation test of marine multi-target active collision avoidance system is carried out, and the changes of navigation angle and yaw deviation angle with time are analyzed.
2022,44(22): 140-143 收稿日期:2022-07-18
DOI:10.3404/j.issn.1672-7649.2022.22.027
分类号:U664.22
基金项目:广西教育科学“十三五”规划专项课题(2019ZJY082)
作者简介:杨满(1980-),男,硕士,高级讲师,主要从事计算机应用技术研究
参考文献:
[1] 时继潮, 郝卓然, 徐娜, 等. 船舶自适应避碰系统设计[J]. 计算机与数字工程, 2019, 47(4): 1010–1013
[2] 喻伟, 张国庆, 陈海键. 分道通航制水域船舶的安全航行与避碰研究[J]. 广州航海学院学报, 2020, 28(3): 56–60
[3] 路俊维, 马林霏, 陶智. 海上极端恶劣环境下舰船避碰系统设计[J]. 舰船科学技术, 2021, 43(18): 52–54
LU Jun-wei, MA Lin-fei, TAO Zhi. Design of ship collision avoidance system in extremely harsh environment at sea[J]. Ship Science and Technology, 2021, 43(18): 52–54
[4] 李美菊. 基于单片机的船舶主动避碰系统设计[J]. 舰船科学技术, 2015, 37(2): 160–163
LI Mei-ju. Design of ship collision avoidance system based on micro controller unit[J]. Ship Science and Techonogy, 2015, 37(2): 160–163
[5] 丁志国, 张新宇, 王程博, 等. 基于驾驶实践的无人船智能避碰决策方法[J]. 中国舰船研究, 2021, 16(1): 96–113
[6] 茅云生, 彭伟, 向祖权, 等. 基于目标干扰意图识别的无人艇避碰算法[J]. 大连海事大学学报, 2021, 47(2): 26–34
[7] 贺益雄, 李丽玲, 胡惟璇, 等. 开阔水域直航船自主避碰决策方法[J]. 武汉理工大学学报, 2021, 45(5): 994–999
[8] 宋利飞, 杨远鹏, 徐凯凯, 等. 面向无人艇的船舶主动干扰意图识别模型[J]. 大连海事大学学报, 2022, 48(1): 73–82
[9] 曹海. 人工免疫算法的船舶避碰智能策略研究[J]. 舰船科学技术, 2016, 38(2): 10–12
[10] 范云生, 苏辉, 王国峰, 等. 无人水面艇自主航行能力测试技术与应用[J]. 大连海事大学学报, 2020, 46(3): 38–49
FAN Yun-sheng, SU Hui, WANG Guo-feng, et al. Testing technology and its application of autonomous navigation ability for unmanned surface veicle[J]. Journal of Dalian maritime University, 2020, 46(3): 38–49