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Published on 23 October 2023
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Li,X.;Tong,J.;Zhu,H. (2023). QUAV attitude control based on linear active disturbance rejection control. Applied and Computational Engineering,20,62-71.
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QUAV attitude control based on linear active disturbance rejection control

Xianming Li 1, Jiabo Tong *,2, Haotian Zhu 3
  • 1 Wuhan Polytechnic University
  • 2 Wuhan University of Technology
  • 3 Guangdong University of Technology

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/20/20231076

Abstract

Unmanned Aerial Vehicle (UAV) are currently gaining popularity. This paper proposes a method to apply Linear Active Disturbance Rejection Control (LADRC) to Quadrotor Unmanned Aerial Vehicle (QUAV) controller to optimize the traditional PID controller. Firstly, the application and shortcomings of traditional PID control in UAV are introduced, and the LADRC method is proposed. Then linear simplification and Parameter Setting of ADRC are carried out. In the Simulink environment, according to the mathematical model of the QUAV, a QUAV dynamics simulation platform is established. Finally, according to different control channels, different control algorithms are designed, and tracking models are introduced in various attitudes to simulate and verify the control effect of LADRC. The results show that the LADRC controller is effective, the LADRC can be effectively combined with the traditional PID control. The application in the QUAV can realize more precise QUAV speed tracking control and the stable flight of the QUAV. Compared with the traditional PID controller, under the experimental conditions of this paper, the LADRC controller has more precise control accuracy and more efficient control efficiency. Finally, this paper summarizes the design of LADRC and makes a brief outlook on the development of UAVs.

Keywords

PID control, QUAV, LADRC, parameter tuning, UAV dynamics

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Cite this article

Li,X.;Tong,J.;Zhu,H. (2023). QUAV attitude control based on linear active disturbance rejection control. Applied and Computational Engineering,20,62-71.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 5th International Conference on Computing and Data Science

Conference website: https://2023.confcds.org/
ISBN:978-1-83558-031-8(Print) / 978-1-83558-032-5(Online)
Conference date: 14 July 2023
Editor:Roman Bauer, Marwan Omar, Alan Wang
Series: Applied and Computational Engineering
Volume number: Vol.20
ISSN:2755-2721(Print) / 2755-273X(Online)

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