舰船电子工程2019，Vol.39Issue(3)：46-49,97,5.DOI:10.3969/j.issn.1672-9730.2019.03.011
基于蚁群优化算法的无人船艇航线自动生成及路径规划
Automatic Generation and Path Planning of Unmanned Boat Routes Based on Ant Colony Optimization Algorithm
摘要
Abstract
With the continuous development of ship intelligence,unmanned boats are used in sea-sweeping operations. The automatic route generation technology and path planning research are of great significance. By introducing the ant colony optimiza?tion algorithm and the standard A-star algorithm,the automatic route generation framework of the unmanned ship route and the opti?mal path search process based on the ant colony optimization algorithm are designed. The automatic generation of the route and the consideration of the swing performance,the wind wave resistance and the aerodynamic drag are analyzed. The path planning of the ocean current impact,the route automatically generated by the optimal path search process based on the ant colony optimization al?gorithm can meet the route design requirements;the slewing performance improvement algorithm performs path planning on the real chart,and the rotation number and path length optimization effect is obvious. Different aerodynamic drag connection weights have great influence on the path planning results. The parameters obtained by the CFD method are accurate and can be used for the aero?dynamic drag weight analysis of unmanned ships. The path planning considering the effects of wind wave increase resistance,aero?dynamic drag and swing performance is reasonable. Basically achieves a smooth sailing.关键词
蚁群优化算法/无人船/航线自动生成/路径规划Key words
ant colony optimization algorithm/unmanned ship/automatic route generation/path planning分类
信息技术与安全科学引用本文复制引用
张海妮..基于蚁群优化算法的无人船艇航线自动生成及路径规划[J].舰船电子工程,2019,39(3):46-49,97,5.基金项目
陕西省教育厅专项科研计划项目(编号:15JK1067)资助. （编号:15JK1067）
