UAV Formation Flight Control Method Based on Annealing Recurrent Neural Network

Authors

  • Yanfeng Yu Department of Electronic Engineering, Zhengzhou Railway Vocational and Technical College, Zhengzhou 451460, China
  • Chao Jiang Department of Artificial Intelligence, Zhengzhou Railway Vocational and Technical College, Zhengzhou 451460, China

Abstract

To address the problem of an unmanned aerial vehicle (UAV) close-formation flight, the wingman pitch angle caused by aerodynamic interference is taken as the extreme value search variable, and the annealing recurrent neural network extremum search algorithm is used to make the wingman interference pitch angle converge to its extreme value. This minimizes the amount of power required by the wingman in a close-formation UAV flight. The problem of the control variables switching back and forth, and the phenomenon of output “chatter” in traditional extremum search algorithm, are eliminated. The dynamic performance of the system is improved, and the stability analysis of the system is simplified. The effectiveness of the algorithm is verified by the simulation of UAV close flying formation.

Keywords: Annealing Recurrent Neural Network, UAV, Formation Flight, Flight Control.

Cite As

Y. Yu, C. Jiang, "UAV Formation Flight Control Method Based on Annealing Recurrent Neural Network", Engineering
Intelligent Systems, vol. 30 no. 3, pp. 243-250, 2022.



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Published

2022-05-01

Issue

Vol. 30 No. 3 (2022): International Journal of Engineering Intelligent Systems

Section

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