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Leader-Follower Formation Tracking Control of Quadrotor UAVs Using Bearing Measurements
TU/e, Eindhoven University of Technology, Department of Mechanical Engineering, Eindhoven, The Netherlands.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0003-0348-2984
Institute for Systems and Robotics (ISR), Instituto Superior Técnico, University of Lisbon, Laboratory of Robotics and Engineering Systems (LARSyS), Portugal.
Institute for Systems and Robotics (ISR), Instituto Superior Técnico, University of Lisbon, Laboratory of Robotics and Engineering Systems (LARSyS), Portugal.
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2025 (English)In: 2025 IEEE Conference on Control Technology and Applications, CCTA 2025, Institute of Electrical and Electronics Engineers (IEEE) , 2025, p. 970-975Conference paper, Published paper (Refereed)
Abstract [en]

This work addresses the practical problem of distributed formation tracking control of a group of quadrotor vehicles in a relaxed sensing graph topology with a very limited sensor set, where only one leader vehicle can access the global position. Other vehicles in the formation are assumed to only have access to inter-agent bearing (direction) measurements and relative velocities with respect to their neighbor agents. A hierarchical control architecture is adopted for each quadrotor, combining a high-gain attitude inner-loop and an outer-loop bearing-based formation controller with collision avoidance augmentation. The proposed method enables a group of quadrotors to track arbitrary bearing persistently exciting desired formations, including time-varying shapes and rotational maneuvers, such that each quadrotor only requires relative measurements to at least one neighboring quadrotor. The effective performance of the control strategy is validated by numerical simulations in MATLAB and real-world experiments with three quadrotors.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025. p. 970-975
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-372347DOI: 10.1109/CCTA53793.2025.11151316ISI: 001588062800153Scopus ID: 2-s2.0-105017861149OAI: oai:DiVA.org:kth-372347DiVA, id: diva2:2011575
Conference
9th IEEE Conference on Control Technology and Applications, CCTA 2025, San Diego, United States of America, August 25-27, 2025
Note

Part of ISBN 9798331539085

QC 20251105

Available from: 2025-11-05 Created: 2025-11-05 Last updated: 2026-05-29Bibliographically approved

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Tang, Zhiqi

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CiteExportLink to record
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  • apa
  • ieee
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