Affine formation maneuver control for multiple underactuated quadrotor uavs with fixed convergence time

Yuanfang Qu, Yang Xu, Kai Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper proposes an affine formation maneuver control scheme for multiple underactuated quadrotor UAVs, which comprises the distributed fixed-time estimators and tracking controllers, , translational and rotational controllers. The desired states can be obtained within fixed time by the distributed fixed-time estimators. Then, under the proposed fixed-time tracking controllers, all error signals in the control system converge. Meanwhile, an attitude extraction algorithm is adopted to obtain the desired rotational states. A first-order filter is proposed to deal with calculating derivatives for variables. Finally, through numerical simulations, the feasibility of the proposed control scheme is proved.

Original languageEnglish
Title of host publicationProceedings of 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2022
PublisherAssociation for Computing Machinery
Pages396-401
Number of pages6
ISBN (Electronic)9781450398343
DOIs
StatePublished - 16 Dec 2022
Event4th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2022 - Virtual, Online, China
Duration: 16 Dec 202218 Dec 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2022
Country/TerritoryChina
CityVirtual, Online
Period16/12/2218/12/22

Keywords

  • Affine formation maneuver control
  • Fixed-time control
  • Underactuated quadrotor unmanned aerial vehicles

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