A Formation Maintenance Method of UAV Swarm under Wind Disturbances

Lei Fu, Ruizhi Mao, Yu Yang, Yachao Yang
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Abstract

Formation maintenance control is one of the important methods to maintain the flight stability of multiple UAVs, and the inevitable wind disturbances during formation flight make many existing methods difficult to implement. In this paper, we study the formation maintenance problem when multiple UAVs fly according to the preset trajectory under wind disturbances, and propose a novel decentralized formation control method. A synchronized trajectory generation method that can resist wind disturbances is designed in this paper. The method generates a real-time formation trajectory for each UAV, estimates the time for local aircraft to complete this trajectory after eliminating errors caused by wind, and obtains the time to reach the next waypoint together through inter-aircraft communication. To satisfy the time constraint of the formation trajectory, the trajectory tracker of each UAV generates a virtual point for the local aircraft. A kinematic relationship is established for the UAV to track its virtual point, and a PD velocity controller with wind compensation is designed to enable the UAV to accurately track its virtual point location. We used hardware-in-the-loop simulations to demonstrate the effectiveness of the formation maintenance method in a variety of wind speeds. Subsequently, a field flight test of triangular formation was conducted using 6 miniature fixed-wing UAVs, and the designed formation method can reduce the formation error to about 3m under 6m/s wind speed disturbance.
风扰动下无人机编队维护方法研究
编队保持控制是保持多架无人机飞行稳定性的重要方法之一,编队飞行过程中不可避免的风干扰使现有的许多方法难以实现。研究了多架无人机在风干扰下按预定轨迹飞行时的编队维护问题,提出了一种新的分散编队控制方法。本文设计了一种能抵抗风扰动的同步轨迹生成方法。该方法为每架无人机生成实时编队轨迹,在消除风力误差后估计本地飞机完成该轨迹所需的时间,并通过机间通信得到共同到达下一个航路点的时间。为了满足编队轨迹的时间约束,每架无人机的轨迹跟踪器为本地飞行器生成一个虚拟点。建立了无人机跟踪虚拟点的运动关系,设计了带风补偿的PD速度控制器,实现了无人机对虚拟点的精确跟踪。我们使用硬件在环模拟来证明地层维护方法在各种风速下的有效性。随后,利用6架小型固定翼无人机进行了三角编队的现场飞行试验,设计的编队方法可以在6m/s风速扰动下将编队误差减小到3m左右。
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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