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Acta Aeronautica et Astronautica Sinica ›› 2023, Vol. 44 ›› Issue (S1): 727645-727645.doi: 10.7527/S1000-6893.2022.27645

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Robust adaptive attitude control of quadrotor with uncertain strong coupling

Chenyang LIU1, Dawei WU1(), Yize GUO1, Xinsai LV1, Jiani ZHOU1, Shuyi SHAO2   

  1. 1.School of Energy and Electrical Engineering,Hohai University,Nanjing  211100,China
    2.College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing  211106,China
  • Received:2022-06-17 Revised:2022-07-28 Accepted:2022-08-26 Online:2023-06-25 Published:2022-09-13
  • Contact: Dawei WU E-mail:wudaweiwkl@126.com
  • Supported by:
    National Natural Science Foundation of China(62103135);Fundamental Research Funds for the Central Universities(B210202068)

Abstract:

A dynamic surface control algorithm based on multi-layer adaptive neural network is proposed for the attitude control problem of the quadrotor UAV with multi-source strong coupling uncertainties for the first time. Different from the previous research on additive coupling uncertainties, the problem of multi-source multiplicative uncertainties estimation and compensation in UAV flight control is considered. First of all, a four-rotor UAV attitude dynamics model with multiplicative strong coupling uncertainties is constructed, and the uncertainties are ingeniously converted based on neural network and Fourier expansion. Secondly, a multi-layer approximation adaptive control law is designed based on the combination of adaptive technology and backstepping method. At the same time, dynamic surface technology is used to solve the derivation problem of virtual control law in the backstepping method. The effectiveness of the proposed control strategy is proved through complete theoretical analysis and simulation experiments.

Key words: quadrotor UAV, attitude control, neural network, dynamic surface control, adaptive control

CLC Number: