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author:

Lin, Qiong (Lin, Qiong.) [1] | Miao, Zhiqiang (Miao, Zhiqiang.) [2] | Chen, Yanjie (Chen, Yanjie.) [3] | Wang, Xiangke (Wang, Xiangke.) [4] | He, Wei (He, Wei.) [5] | Wang, Yaonan (Wang, Yaonan.) [6]

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Abstract:

This research paper addresses the formation control problem in a swarm of quadrotor unmanned aerial vehicles (UAVs) over directed interaction topologies, with the primary objective of achieving persistent motion based on bearing measurements. A novel bearing-only formation controller is proposed, eliminating the need for relative position or linear velocity measurements between quadrotors. Specifically, a distributed hierarchical formation control scheme is adopted for the quadrotors. This scheme consists of an outer-loop translation controller designed for target formations using only bearing vector measurements, as well as an inner-loop attitude controller for precise attitude adjustments. To overcome the absence of bearing rate measurement in the translational controller, a filter is introduced to estimate it, effectively compensating for the lack of linear velocity measurement. Additionally, a differentiator is employed to estimate the high-order control input of the translational dynamics, enabling convenient derivation of the desired angular velocity and its derivatives required for the torque controller. The stability analysis of the underactuated systems of multi-UAVs under directed graphs is conducted using Lyapunov stability theory. Simulation results demonstrate the convergence properties of the proposed protocols, while real-world tasks validate its practicality. © 2016 IEEE.

Keyword:

Antennas Attitude control Controllers Directed graphs Maneuverability Unmanned aerial vehicles (UAV) Velocity measurement

Community:

  • [ 1 ] [Lin, Qiong]Hunan University, College of Electrical and Information Engineering, Changsha; 410082, China
  • [ 2 ] [Lin, Qiong]National Engineering Research Center for Robot Visual Perception and Control, Changsha; 410082, China
  • [ 3 ] [Miao, Zhiqiang]Hunan University, College of Electrical and Information Engineering, Changsha; 410082, China
  • [ 4 ] [Miao, Zhiqiang]National Engineering Research Center for Robot Visual Perception and Control, Changsha; 410082, China
  • [ 5 ] [Chen, Yanjie]Fuzhou University, School of Mechanical Engineering and Automation, Fuzhou; 350108, China
  • [ 6 ] [Chen, Yanjie]Aberystwyth University, Department of Computer Science, Aberystwyth; SY23 3DB, United Kingdom
  • [ 7 ] [Wang, Xiangke]National University of Defense Technology, College of Intelligence Science and Technology, Changsha; 410073, China
  • [ 8 ] [He, Wei]University of Science and Technology Beijing, School of Intelligence Science and Technology, Beijing; 100083, China
  • [ 9 ] [He, Wei]University of Science and Technology Beijing, Institute of Artificial Intelligence, Beijing; 100083, China
  • [ 10 ] [Wang, Yaonan]Hunan University, College of Electrical and Information Engineering, Changsha; 410082, China
  • [ 11 ] [Wang, Yaonan]National Engineering Research Center for Robot Visual Perception and Control, Changsha; 410082, China

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Source :

IEEE Transactions on Intelligent Vehicles

Year: 2025

Issue: 4

Volume: 10

Page: 2653-2664

1 4 . 0 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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