Directed Formation Control Using Distance and Angle in Local Coordinate Frameworks

  • Zhuwu SHAO
  • , Zheng ZHOU
  • , Yujuan WANG*
  • , Yongduan SONG
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

7 Citations (Scopus)

Abstract

The formation control of multiagent systems is widely recognized to be challenged due to ambiguity. Solving this challenge solely by introducing extra control variables may lead to the emergence of additional undesired equilibria. In this work, we mitigate this potential issue by introducing constraints on the angles, in conjunction with distance and angle variables. Specifically, we propose a novel 2-D formation control scheme for acyclic triangulated directed graphs, ensuring strong congruency between the actual and desired formations. By introducing state-dependent time-varying control gains, the proposed scheme avoids the drawback of existing methods that require repetitive adjustment of control parameters based on the desired formation pattern. Moreover, for n nonpoint single-integrator agent models, the maintenance of connectivity and collision avoidance among neighboring agents is effectively addressed through a novel distance transformation. Lastly, the stability and convergence of the system are analyzed theoretically, the simulation study and practical experiments are conducted to validate the effectiveness of the proposed method.
Original languageEnglish
Pages (from-to)14722-14729
Number of pages8
JournalIEEE Transactions on Industrial Electronics
Volume71
Issue number11
Early online date8 Mar 2024
DOIs
Publication statusPublished - Nov 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 1982-2012 IEEE.

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 62273064, Grant 61933012, Grant 62250710167, Grant 62203078, and Grant 61860206008 and in part by the Central University Project under Grant 2021CDJCGJ002, Grant 2022CDJKYJH019, and Grant 2022CDJKYJH051.

Keywords

  • Collision avoidance (CA)
  • connectivity maintenance (CM)
  • formation maneuvering
  • multiagent system (MAS)

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