TY - JOUR
T1 - Formation control for UAVs using a Flux Guided approach
AU - Hartley, John
AU - Shum, Hubert P.H.
AU - Ho, Edmond S.L.
AU - Wang, He
AU - Ramamoorthy, Subramanian
N1 - Funding Information:
This work is supported by the MOD Chief Scientific Adviser’s Research Programme, through the Defence and Security Accelerator, UK (Ref: DSTLX-1000140725 ), and the Royal Society, UK (Ref: IESR2181024 and IESR1191147 ).
PY - 2022/11/1
Y1 - 2022/11/1
N2 - 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× 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 s and 0.88 s, 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.
AB - 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× 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 s and 0.88 s, 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.
KW - Artificial harmonic field
KW - Electric flux
KW - Formation encirclement
KW - Multi-agent motion planning
KW - Unmanned aerial vehicles
UR - http://www.scopus.com/inward/record.url?scp=85131695950&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2022.117665
DO - 10.1016/j.eswa.2022.117665
M3 - Article
AN - SCOPUS:85131695950
SN - 0957-4174
VL - 205
JO - Expert Systems with Applications
JF - Expert Systems with Applications
M1 - 117665
ER -