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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