摘要
为了进一步缩短无人救生船搜索和救援的时间,鉴于目前现有路径规划模型的局限性,提出了一种基于BDS和一种改进鱼群算法的无人救生船路径规划系统.该系统由北斗卫星与基于时间优化的改进鱼群算法配合进行实时的全天候路径规划,利用云平台建立模型对各参数影响因素分析,进一步实现自主躲避移动障碍的目的.并在厦门市集美区附近海域进行仿真实验验证,该系统对于无人救生船的航行安全性具有重要意义.
In order to further shorten the search and rescue time of unmanned lifeboat,in view of the limitations of the existing path planning model,an unmanned lifeboat path planning system based on BDS and an improved fish swarm algorithm is proposed.The system cooperates with Beidou satellite and the improved fish swarm algorithm based on time optimization to carry out real-time all-weather path planning,and uses the cloud platform to establish a model to analyze the influencing factors of various parameters,so as to further realize the purpose of autonomous avoidance of mobile obstacles.The simulation experiment in the sea area near Jimei District of Xiamen shows that the system is of great significance to the navigation safety of unmanned lifeboat.
作者
陈鑫
周海峰
郑东强
陈立枫
林忠华
张兴杰
关天敏
CHEN Xin;ZHOU Hai-feng;ZHENG Dong-qiang;CHEN Li-feng;LIN Zhong-hua;ZHANG Xing-jie;GUAN Tian-min(Marine Engineering Institute of Jimei University,Xiamen Fujian 361021,China;Key Laboratory of Naval Architecture and Ocean Marine Engineering of Fujian Province,Xiamen Fujian 361021,China;School of Marine equipment and mechanical engineering,Jimei University,Xiamen Fujian 361021,China;Navigation College,Jimei University,Xiamen Fujian 361021,China;School of Marine Information Engineering,Jimei University,Xiamen Fujian 361021,China)
出处
《广州航海学院学报》
2021年第4期10-15,共6页
Journal of Guangzhou Maritime University
基金
福建省自然科学基金项目(2021J01310,2018J01495)
福建省教育厅项目(JAT200242,JAT170318)
产学研项目(S20127)
集美大学大学生创新创业训练项目(2021xj153,2021xj178,2021xj179)。
关键词
航迹规划
BDS
改进鱼群算法
云平台
模糊评价
Track planning
BDS
Improved fish swarm algorithm
Cloud platform
Fuzzy evaluation
作者简介
第一作者:陈鑫(2001—),男,本科生,研究方向:主要从事无人船自动控制及人工智能算法的研究;通信作者:周海峰(1970—),男,博士,教授,硕士生导师,研究方向:主要从事智能信息处理、光机电一体化和仿生机理以及节能等方面的研究,E-mail:zhfeng216@163.com。
