Multi-UAVs Trajectory Planning Method with Coordinated Attack Angle-Time Constraints

Jie Xu, Weinan Wu, Yiming Sun
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Abstract

Multi unmanned aerial vehicles (multi-UAVs) coordinated ground attack is an important part of regional sealing and suppression tasks. This paper takes this task as the background to carry out research on multi-UAVs cooperative trajectory planning. Based on this, a multi-UAVs trajectory planning method considering cooperative attack angle and time constraints is proposed. First, the problem is described as a directed graph based on graph theory, the UAV is equivalent to the Dubins Car model, and the constraint model of trajectory avoidance, obstacle avoidance, attack time, and attack angle is given. The total track length is taken as the optimization objective, and the genetic algorithm is designed to solve the problem. The simulation results show that the genetic algorithm can solve the problem, and the designed method has good engineering application value.
具有协调攻角-时间约束的多无人机轨迹规划方法
多无人机协同对地攻击是遂行区域封锁压制任务的重要组成部分。本文以该任务为背景,开展多无人机协同轨迹规划研究。在此基础上,提出了一种考虑协同攻角和时间约束的多无人机弹道规划方法。首先,基于图论将问题描述为一个有向图,将无人机等效为Dubins Car模型,给出了轨迹回避、避障、攻击时间和攻角的约束模型;以总航迹长度为优化目标,设计遗传算法求解该问题。仿真结果表明,遗传算法可以解决该问题,所设计的方法具有良好的工程应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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