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Open Access

Periodic event-triggered formation control for multi-UAV systems with collision avoidance

Tong WUaJie WANGb( )Bailing TIANc
School of Artificial Intelligence, Hebei University of Technology, Tianjin 300130, China
Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China
School of Electric and Information Engineering, Tianjin University, Tianjin 300072, China

Peer review under responsibility of Editorial Committee of CJA.

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Abstract

In this paper, periodic event-triggered formation control problems with collision avoidance are studied for leader–follower multiple Unmanned Aerial Vehicles (UAVs). Firstly, based on the Artificial Potential Field (APF) method, a novel sliding manifold is proposed for controller design, which can solve the problem of collision avoidance. Then, the event-triggered strategy is applied to the distributed formation control of multi-UAV systems, where the evaluation of the event condition is continuous. In addition, the exclusion of Zeno behavior can be guaranteed by the inter-event time between two successive trigger events have a positive lower bound. Next, a periodic event-triggered mechanism is developed for formation control based on the continuous event-triggered mechanism. The periodic trigger mechanism does not need additional hardware circuits and sophisticated sensors, which can reduce the control cost. The stability of the control system is proved by the Lyapunov function method. Finally, some numerical simulations are presented to illustrate the effectiveness of the proposed control protocol.

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Chinese Journal of Aeronautics
Pages 193-203

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Cite this article:
WU T, WANG J, TIAN B. Periodic event-triggered formation control for multi-UAV systems with collision avoidance. Chinese Journal of Aeronautics, 2022, 35(8): 193-203. https://doi.org/10.1016/j.cja.2021.10.011

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Received: 04 March 2021
Revised: 12 May 2021
Accepted: 03 June 2021
Published: 09 November 2021
© 2021 Chinese Society of Aeronautics and Astronautics.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).