Formation Control for UAVs Using a Flux Guided Approach

@article{Hartley2022FormationCF,
  title={Formation Control for UAVs Using a Flux Guided Approach},
  author={John C Hartley and Hubert P. H. Shum and Edmond S. L. Ho and He Wang and Subramanian Ramamoorthy},
  journal={ArXiv},
  year={2022},
  volume={abs/2103.09184}
}

Figures and Tables from this paper

References

SHOWING 1-10 OF 50 REFERENCES
Fixed-Wing UAV Formation Control Design With Collision Avoidance Based on an Improved Artificial Potential Field
TLDR
This paper proposes a collision avoidance control algorithm based on the virtual structure and the “leader–follower” control strategy in 3-D space that can avoid the obstacle effectively and then track the motion target and provide a new concept for multi-UAV formation avoidance of an obstacle.
Path Planning for Multi-UAV Formation
TLDR
An efficient and feasible algorithm for the path planning problem of the multiple unmanned aerial vehicles (multi-UAVs) formation in a known and realistic environment and has a good path planning ability for the single UAV and the all UAVs formation.
Consensus-based cooperative formation control with collision avoidance for a multi-UAV system
TLDR
This paper describes how the cooperatively controlled UAVs avoid collisions while they are flying to desired position for formation, and proposes a consensus-based cooperative formation control strategy with collision-avoidance capability for a group of multiple unmanned aerial vehicles.
A survey on vision-based UAV navigation
TLDR
This article is to present a comprehensive literature review of the vision-based methods for UAV navigation, specifically on visual localization and mapping, obstacle avoidance and path planning, which compose the essential parts of visual navigation.
Leader-follower formation control using artificial potential functions: A kinematic approach
This paper presents a novel formation control technique of a group of differentially driven wheeled mobile robots employing artificial potential field based navigation and leader-follower formation
Dynamic encirclement of a moving target using decentralized nonlinear Model Predictive Control
TLDR
The problem of creating a dynamic circular formation around a moving target is considered, a Decentralized Model Predictive Control (DMPC) policy is formulated, and a stabilizing control policy is derived and validated through simulation results.
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification
TLDR
It is demonstrated that with the right setup, deep networks are powerful enough to learn good representations for UAVs, achieving 81.9% mAP on the Temporally-Near setting and 46.5% on the challenging Big-to-Small setting and it is found that vision transformers are the most robust to extreme variance of scale.
Guaranteeing persistent feasibility of model predictive motion planning for autonomous vehicles
TLDR
The conditions that guarantee persistent feasibility of a model predictive motion planning scheme are studied and two approaches to compute control invariant sets for the motion planning problem, the linearization-convexification approach and the brute-force search approach.
...
...