AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Adaptive maneuvering control of a quadrotor UAV using double dynamic filters

School of Mathematics and Informational Science, Shandong Technology and Business University, Yantai 264005, China
Show Author Information

Abstract

This paper proposes an adaptive maneuvering control for a quadrotor unmanned aerial vehicle with position constrained by geometric equations and unknown parameters. Based on the structural characteristics of the quadrotors, the inner–outer-loop controller is designed for two cascaded subsystems to solve the maneuvering problem of the position subsystem and the Euler angle tracking problem of the attitude subsystem. Meanwhile, double dynamic filters are incorporated into the the inner-loop control to eliminate the coefficient explosion problem of virtual signal differentiation. By treating the coupling term as a perturbation, the semi-global practical stability of the closed-loop system is established. Finally, the effectiveness of the obtained results are demonstrated by numerical simulations.

References

【1】
【1】
 
 
Electronic Research Archive
Pages 4913-4930

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Yang C. Adaptive maneuvering control of a quadrotor UAV using double dynamic filters. Electronic Research Archive, 2026, 34(7): 4913-4930. https://doi.org/10.3934/era.2026217

7

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 22 March 2026
Revised: 11 May 2026
Accepted: 01 June 2026
Published: 15 July 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)