Journal of Aerospace Science and Technology

Journal of Aerospace Science and Technology

Intelligent Control of a Tailsitter UAV during Transition Flight: A Feedback Linearization Approach

Document Type : Original Article

Authors
Department of Aerospace Engineering, K.N. Toosi University of Technology, Tehran, Iran
Abstract
This study introduces a hybrid algorithm designed for trajectory tracking control during the
transition flight of a tailsitter Unmanned Aerial Vehicle (UAV), employing an integration of
neural networks and a genetic optimization algorithm. The tailsitter UAV ducted fan tailsitter,
which has been augmented with two additional wings to enhance its flight capabilities. The
foundation of the intelligent controller lies in the feedback linearization method, with
performance enhancements achieved through online neural network training coupled with a
genetic optimization algorithm. To validate the effectiveness of the proposed algorithm in
controlling the UAV during transition flight, simulations were conducted within the Matlab-
Simulink software environment.
Keywords

Subjects


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Volume 17, Issue 2
October 2024
Pages 38-46

  • Receive Date 31 July 2021
  • Revise Date 21 May 2024
  • Accept Date 08 June 2024
  • First Publish Date 08 June 2024