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

Yan Ma; Yingxun Wang; Zhihao Cai; Jiang Zhao; Ningjun Liu

doi:10.16356/j.1005-1120.2022.02.006

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

Yan Ma
, Yingxun Wang^*
, Zhihao Cai
, Jiang Zhao
, Ningjun Liu

^*Corresponding author for this work

Beihang University

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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.

Translated title of the contribution	倾转三旋翼无人机倾转定高控制研究
Original language	English
Pages (from-to)	186-200
Number of pages	15
Journal	Transactions of Nanjing University of Aeronautics and Astronautics
Volume	39
Issue number	2
DOIs	https://doi.org/10.16356/j.1005-1120.2022.02.006
State	Published - Apr 2022

Keywords

Altitude control
Grey wolf optimization (GWO)
Neural network adaptive control
Tilt tri-rotor unmanned aerial vehicle

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10.16356/j.1005-1120.2022.02.006

Cite this

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abstract = "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.",

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author = "Yan Ma and Yingxun Wang and Zhihao Cai and Jiang Zhao and Ningjun Liu",

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AU - Ma, Yan

AU - Wang, Yingxun

AU - Cai, Zhihao

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AU - Liu, Ningjun

PY - 2022/4

Y1 - 2022/4

N2 - 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.

AB - 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.

KW - Altitude control

KW - Grey wolf optimization (GWO)

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KW - Tilt tri-rotor unmanned aerial vehicle

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DO - 10.16356/j.1005-1120.2022.02.006

M3 - 文章

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SN - 1005-1120

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

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