Multiple observers based anti-disturbance control for a quadrotor UAV against payload and wind disturbances

This paper presents a multiple observers based anti-disturbance control (MOBADC) scheme against multiple disturbances for a quadrotor unmanned aerial vehicle (UAV). The quadrotor UAV dynamics can be represented by the Newton’s second law and Lagrange–Euler formalism. The proposed control scheme cons...

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Published in:Control engineering practice Vol. 102; p. 104560
Main Authors: Guo, Kexin, Jia, Jindou, Yu, Xiang, Guo, Lei, Xie, Lihua
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.09.2020
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ISSN:0967-0661, 1873-6939
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Abstract This paper presents a multiple observers based anti-disturbance control (MOBADC) scheme against multiple disturbances for a quadrotor unmanned aerial vehicle (UAV). The quadrotor UAV dynamics can be represented by the Newton’s second law and Lagrange–Euler formalism. The proposed control scheme consists of disturbance observer (DO) based controller and extended state observer (ESO) based controller, which are utilized in the position loop to mainly eliminate the cable suspended payload disturbance with partially known information and mitigate the wind disturbance with bounded variation. What is more, in order to reject the model uncertainty and disturbance moment, another ESO based controller is designed for the attitude loop. Using the proposed control scheme, the anti-disturbance performance can be significantly enhanced. Experimental results in the presence of wind disturbance, payload oscillating disturbance, and hybrid disturbances illustrate the robustness and effectiveness of the proposed method compared to the classical PID method.
AbstractList This paper presents a multiple observers based anti-disturbance control (MOBADC) scheme against multiple disturbances for a quadrotor unmanned aerial vehicle (UAV). The quadrotor UAV dynamics can be represented by the Newton’s second law and Lagrange–Euler formalism. The proposed control scheme consists of disturbance observer (DO) based controller and extended state observer (ESO) based controller, which are utilized in the position loop to mainly eliminate the cable suspended payload disturbance with partially known information and mitigate the wind disturbance with bounded variation. What is more, in order to reject the model uncertainty and disturbance moment, another ESO based controller is designed for the attitude loop. Using the proposed control scheme, the anti-disturbance performance can be significantly enhanced. Experimental results in the presence of wind disturbance, payload oscillating disturbance, and hybrid disturbances illustrate the robustness and effectiveness of the proposed method compared to the classical PID method.
ArticleNumber 104560
Author Guo, Lei
Yu, Xiang
Guo, Kexin
Xie, Lihua
Jia, Jindou
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  givenname: Jindou
  surname: Jia
  fullname: Jia, Jindou
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  organization: School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China
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  givenname: Xiang
  surname: Yu
  fullname: Yu, Xiang
  email: xiangyu_buaa@buaa.edu.cn
  organization: School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China
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  givenname: Lei
  surname: Guo
  fullname: Guo, Lei
  email: lguo@buaa.edu.cn
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  givenname: Lihua
  surname: Xie
  fullname: Xie, Lihua
  email: elhxie@ntu.edu.sg
  organization: School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore
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Keywords Disturbance observer
Extended state observer
Anti-disturbance control
Payload disturbance
Unmanned aerial vehicle
Wind disturbance
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Snippet This paper presents a multiple observers based anti-disturbance control (MOBADC) scheme against multiple disturbances for a quadrotor unmanned aerial vehicle...
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StartPage 104560
SubjectTerms Anti-disturbance control
Disturbance observer
Extended state observer
Payload disturbance
Unmanned aerial vehicle
Wind disturbance
Title Multiple observers based anti-disturbance control for a quadrotor UAV against payload and wind disturbances
URI https://dx.doi.org/10.1016/j.conengprac.2020.104560
Volume 102
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