2022
DOI: 10.1002/asjc.2828
|View full text |Cite
|
Sign up to set email alerts
|

Fixed‐time backstepping distributed cooperative control for multiple unmanned aerial vehicles

Abstract: This paper proposes a fixed‐time backstepping distributed cooperative control scheme based on fixed‐time extended state observer (FxTESO) for multiple unmanned aerial vehicles (UAVs). A fixed‐time ESO, which is convergent independently of initial conditions, is designed to estimate and compensate the external disturbances in tracking process. Moreover, to eliminate the “explosion of complexity” in the traditional backstepping architecture, a nonlinear first‐order filter is adopted to construct the distributed … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
6
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 9 publications
(6 citation statements)
references
References 17 publications
0
6
0
Order By: Relevance
“…In recent years many successful applications of unmanned aerial vehicles (UAVs) have been witnessed in different domains, ranging from environmental monitoring, search and rescue to surveillance and reconnaissance. 1,2 Most of the common UAV tasks are generally divided into trajectory tracking problem 3 and path following problem. 4 Unlike the trajectory tracking problem where the UAV should arrive at a particular location in a certain time, the path following problem only requires the UAV to follow some geometric paths with feasible speed profiles.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years many successful applications of unmanned aerial vehicles (UAVs) have been witnessed in different domains, ranging from environmental monitoring, search and rescue to surveillance and reconnaissance. 1,2 Most of the common UAV tasks are generally divided into trajectory tracking problem 3 and path following problem. 4 Unlike the trajectory tracking problem where the UAV should arrive at a particular location in a certain time, the path following problem only requires the UAV to follow some geometric paths with feasible speed profiles.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, a critical neural network is used to estimate the optimal control solution of the HJB equation, guaranteeing that the system state error is uniformly ultimate bounded. For multiple unmanned aerial vehicles (UAVs), a fixed-time backstepping distributed cooperative control scheme [14] was proposed based on a fixed-time extended state observer (FxTESO). To estimate and account for the external disturbances in the tracking process, a fixed-time ESO was used regardless of the initial conditions.…”
Section: Introductionmentioning
confidence: 99%
“…After introducing fixed‐time control in Reference 20, many researchers addressed the issue of fixed‐time control and reported satisfactory results for a wide range of nonlinear systems 7,16,18,22‐26 . Also, the fixed‐time approach has been used for many practical systems, among which the following can be mentioned: consensus control of multi‐agent systems, 27‐30 control for multiple unmanned aerial vehicles (UAVs) in Reference 31, control for an air‐breathing hypersonic vehicle in Reference 32, attitude control for spacecraft, 33‐35 and tracking control for permanent magnet synchronous motor 36 …”
Section: Introductionmentioning
confidence: 99%