Fixed-Wing UAV Formation Path Planning Based on Formation Control: Theory and Application

IF 2.1 3区 工程技术 Q2 ENGINEERING, AEROSPACE Aerospace Pub Date : 2023-12-19 DOI:10.3390/aerospace11010001
Chenglou Liu, Fangfang Xie, Tingwei Ji
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Abstract

Formation path planning is a significant cornerstone for unmanned aerial vehicle (UAV) swarm intelligence. Previous methods were not suitable for large-scale UAV formation, which suffered from poor formation maintenance and low planning efficiency. To this end, this paper proposes a novel millisecond-level path planning method appropriate for large-scale fixed-wing UAV formation, which consists of two parts. Instead of directly planning paths independently for each UAV in the formation, the proposed method first introduces a formation control strategy. It controls the chaotic UAV swarm to move as a single rigid body, so that only one planning can obtain the feasible path of the entire formation. Then, a computationally lightweight Dubins path generation method with a closed-form expression is employed to plan feasible paths for the formation. During flight, the aforementioned formation control strategy maintains the geometric features of the formation and avoids internal collisions within the formation. Finally, the effectiveness of the proposed framework is exemplified through several simulations. The results show that the proposed method can not only achieve millisecond-level path planning for the entire formation but also excellently maintain formation during the flight. Furthermore, simple formation obstacle avoidance in a special case also highlights the application potential of the proposed method.
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基于编队控制的固定翼无人机编队路径规划:理论与应用
编队路径规划是无人机群智能的重要基石。以往的方法不适合大规模无人机编队,存在编队维持性差、规划效率低等问题。为此,本文提出了一种适用于大规模固定翼无人机编队的新型毫秒级路径规划方法,该方法由两部分组成。该方法首先引入了编队控制策略,而不是直接为编队中的每架无人机独立规划路径。它控制混沌无人机群作为单一刚体运动,因此只需一次规划就能获得整个编队的可行路径。然后,采用计算量较小的杜宾斯路径生成方法和闭式表达式来规划编队的可行路径。在飞行过程中,上述编队控制策略保持了编队的几何特征,避免了编队内部的碰撞。最后,通过多次仿真演示了所提框架的有效性。结果表明,提出的方法不仅能实现整个编队的毫秒级路径规划,还能在飞行过程中出色地保持编队。此外,在特殊情况下的简单编队避障也凸显了所提方法的应用潜力。
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来源期刊
Aerospace
Aerospace ENGINEERING, AEROSPACE-
CiteScore
3.40
自引率
23.10%
发文量
661
审稿时长
6 weeks
期刊介绍: Aerospace is a multidisciplinary science inviting submissions on, but not limited to, the following subject areas: aerodynamics computational fluid dynamics fluid-structure interaction flight mechanics plasmas research instrumentation test facilities environment material science structural analysis thermophysics and heat transfer thermal-structure interaction aeroacoustics optics electromagnetism and radar propulsion power generation and conversion fuels and propellants combustion multidisciplinary design optimization software engineering data analysis signal and image processing artificial intelligence aerospace vehicles'' operation, control and maintenance risk and reliability human factors human-automation interaction airline operations and management air traffic management airport design meteorology space exploration multi-physics interaction.
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