2021
DOI: 10.1155/2021/9231636
|View full text |Cite
|
Sign up to set email alerts
|

A Leader‐Follower Formation Control of Multi‐UAVs via an Adaptive Hybrid Controller

Abstract: The purpose of this study is to offer an adaptive hybrid controller for the formation control of multiple unmanned aerial vehicles (UAVs) leader-follower configurations with communication delay. Although numerous studies about the control of the formation exist, very few incorporate the delay in their model and are adaptive as well. The motivation behind this article is to bridge that gap. The strategy consists of an adaptive fuzzy logic controller and a Proportional, Integral, and Derivative (PID) controller … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
6
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 23 publications
(6 citation statements)
references
References 42 publications
0
6
0
Order By: Relevance
“…Notably, a simulated leader is employed instead of a physical counterpart, affording followers the flexibility to adjust their velocity and direction in tandem with the simulated leader's guidance. This approach mitigates the risk associated with potential malfunctions of a real leader, ensuring robust and efficient formation control throughout the mission [38,39].…”
Section: Formation Control With Leader-follower Dynamicsmentioning
confidence: 99%
“…Notably, a simulated leader is employed instead of a physical counterpart, affording followers the flexibility to adjust their velocity and direction in tandem with the simulated leader's guidance. This approach mitigates the risk associated with potential malfunctions of a real leader, ensuring robust and efficient formation control throughout the mission [38,39].…”
Section: Formation Control With Leader-follower Dynamicsmentioning
confidence: 99%
“…The future of dynamic agents looks promising as advancement in research and technology continues to shape its development. Motion planning will play a central role in efficient transportation systems with the integration of advanced sensor technologies, AI, and V2X communication [24]. This will optimize traffic management reduce congestion and enhance public transportation with the coordination of autonomous vehicles.…”
Section: Referencesmentioning
confidence: 99%
“…Based on the leader-follower formation control strategy, many methods such as PID and adaptive control were used for multi-agent systems in [5][6][7]. For the network of heterogeneous uncertain agents, reference [8] proposes an output feedback model reference adaptive control (MRAC) to deal with the unknown dynamics of the intelligences.…”
Section: Introductionmentioning
confidence: 99%