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A Scalable Distributed Control Algorithm for Bearing-Only Passive UAV Formation Maintenance.

Yuchong Gao1, Huiqi Feng1, Jiexiang Chen1

  • 1School of Information and Communication Engineering, Beijing University of Posts and Telecommunication, Beijing 100876, China.

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PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm for passive Unmanned Aerial Vehicle (UAV) formation maintenance using only angle information. This approach ensures electromagnetic silence and achieves high real-time performance without needing precise UAV locations.

Keywords:
UAV formationbearing-onlydistributed controlelectromagnetic silenceformation maintenance

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Area of Science:

  • Robotics and Control Systems
  • Aerospace Engineering
  • Distributed Systems

Background:

  • Unmanned Aerial Vehicles (UAVs) require secure communication for cooperative tasks.
  • Traditional formation maintenance often relies on active communication, compromising electromagnetic silence.
  • Existing passive strategies demand significant computational resources and precise UAV localization.

Purpose of the Study:

  • To develop a scalable, distributed control algorithm for passive UAV formation maintenance.
  • To enable real-time formation control without requiring UAV localization.
  • To achieve electromagnetic silence during UAV operations.

Main Methods:

  • A novel distributed control algorithm utilizing pure angle information for UAV formation maintenance.
  • Minimizing inter-UAV communication by relying solely on bearing data.
  • Mathematical proof of algorithm convergence and derivation of the converging radius.

Main Results:

  • The proposed algorithm successfully maintains UAV formations using only passive angle information.
  • Demonstrated fast convergence speed and strong anti-interference capabilities through simulations.
  • Validated the algorithm's scalability for large UAV formations.

Conclusions:

  • The developed algorithm offers a viable solution for secure, real-time passive UAV formation maintenance.
  • It overcomes the limitations of heavy computation and localization requirements of previous methods.
  • The approach is suitable for general cases, enhancing UAV operational security and efficiency.