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基于定向A*算法的多无人机同时集结分步策略
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  • 英文篇名:Serial strategy for rendezvous of multiple UAVS based on directional A* algorithm
  • 作者:陈志旺 ; 夏顺 ; 李建雄 ; 宋娟 ; 彭勇
  • 英文作者:CHEN Zhi-wang;XIA Shun;LI Jian-xiong;SONG Juan;PENG Yong;Key Lab of Industrial Computer Control Engineering of Hebei Province,Yanshan University;National Engineering Research Center for Equipment and Technology of Cold Strip Rolling,Yanshan University;Jiamusi Electric Power Company,State Grid Heilongjiang Electric Power Co., Ltd;School of Electrical Engineering,Yanshan University;
  • 关键词:多无人机 ; 航迹规划 ; A*算法 ; 同时集结
  • 英文关键词:multiple UAVs;;path planning;;A* algorithm;;simutaneous arrival
  • 中文刊名:KZYC
  • 英文刊名:Control and Decision
  • 机构:燕山大学工业计算机控制工程河北省重点实验室;燕山大学国家冷轧板带装备及工艺工程技术研究中心;国网黑龙江省电力有限公司佳木斯供电公司;燕山大学电气工程学院;
  • 出版日期:2019-05-28
  • 出版单位:控制与决策
  • 年:2019
  • 期:v.34
  • 基金:国家自然科学基金项目(61573305)
  • 语种:中文;
  • 页:KZYC201906006
  • 页数:9
  • CN:06
  • ISSN:21-1124/TP
  • 分类号:51-59
摘要
设计一种基于定向A*算法的多无人机同时集结分步策略.首先,提出一种定向A*算法,将无人机最大俯仰角与偏航角作为A*算法搜索约束,从而缩小节点扩展区域,并通过循环寻优规避"死区"点,进而产生平滑可飞的预规划航迹;其次,论述了补偿航程差的变步长多点搜索、三维盘旋机动、虚拟威胁等分步再规划算法,使得多无人机同时集结于目标点附近.仿真结果表明,所提出的算法能够有效完成多无人机同时集结任务.
        In this paper, a serial strategy based on the directional A* algorithm for multiple UAVs is proposed. Firstly,the directional A* algorithm is presented to create a smooth and feasible pre-planning route, in which the maximum pitch and yaw angles are used as search constraints of the A* algorithm to narrow expansion area of nodes, and the successive trial and error procedure is adopted to avoid "dead zones". Then, the serial re-planning algorithm is discussed to extend the path length for aggregating at the same time, which generally consists of three steps: variable step size and multiple nodes, three-dimensional circle maneuver and virtual threats. Finally, the effectiveness of the proposed algorithm is demonstrated using numerical simulation.
引文
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