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A Grey Wolf Optimization‑Based Tilt Tri‑rotor UAV Altitude Control in Transition Mode

投稿的翻译标题: 倾转三旋翼无人机倾转定高控制研究
  • Beihang University

科研成果: 期刊稿件文章同行评审

摘要

To solve the problem of altitude control of a tilt tri-rotor unmanned aerial vehicle (UAV) in the transition mode, this study presents a grey wolf optimization (GWO) based neural network adaptive control scheme for a tilt tri-rotor UAV in the transition mode. Firstly, the nonlinear model of the tilt tri-rotor UAV is established. Secondly, the tilt tri-rotor UAV altitude controller and attitude controller are designed by a neural network adaptive control method, and the GWO algorithm is adopted to optimize the parameters of the neural network and the controllers. Thirdly, two altitude control strategies are designed in the transition mode. Finally, comparative simulations are carried out to demonstrate the effectiveness and robustness of the proposed control scheme.

投稿的翻译标题倾转三旋翼无人机倾转定高控制研究
源语言英语
页(从-至)186-200
页数15
期刊Transactions of Nanjing University of Aeronautics and Astronautics
39
2
DOI
出版状态已出版 - 4月 2022

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