Formation Control for UAVs Using a Flux Guided Approach

TL;DR

This paper introduces the Flux Guided (FG) approach for UAV formation control that ensures optimal coverage and collision-free paths for multiple UAVs tracking targets, with improved efficiency and scalability.

Contribution

The FG method is a novel path planning technique enabling scalable, coverage-maximizing UAV formations with shorter trajectories and real-time adaptability for multiple targets.

Findings

FG generates 1.5x shorter trajectories than previous methods.

Trajectory planning for 9 UAVs takes less than 1 second.

The approach effectively tracks multiple scattered targets with scalable formations.

Abstract

Existing studies on formation control for unmanned aerial vehicles (UAV) have not considered encircling targets where an optimum coverage of the target is required at all times. Such coverage plays a critical role in many real-world applications such as tracking hostile UAVs. This paper proposes a new path planning approach called the Flux Guided (FG) method, which generates collision-free trajectories for multiple UAVs while maximising the coverage of target(s). Our method enables UAVs to track directly toward a target whilst maintaining maximum coverage. Furthermore, multiple scattered targets can be tracked by scaling the formation during flight. FG is highly scalable since it only requires communication between sub-set of UAVs on the open boundary of the formation's surface. Experimental results further validate that FG generates UAV trajectories $1.5 \times$ shorter than previous work and that trajectory planning for 9 leader/follower UAVs to surround a target in two different scenarios only requires 0.52 seconds and 0.88 seconds, respectively. The resulting trajectories are suitable for robotic controls after time-optimal parameterisation; we demonstrate this using a 3d dynamic particle system that tracks the desired trajectories using a PID controller.