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An ADRC Attitude Control Algorithm of Quadrotor for Wind Interference

  • Zhikai Hou
  • , Junxi Tian
  • , Jiadong Yang
  • , Songyan Wang*
  • , Tao Chao
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The attitude control of quadrotor UAVs is the core of autonomous flight control. The control performance of the quadrotor will be degraded in the case of outdoor wind disturbance, which has a high robustness requirement for the attitude control of UAVs. PID controller will have a large fluctuation when there are unknown external disturbances and internal uncertainties. In this paper, a quadrotor attitude controller based on ADRC is designed aiming at the problem that the attitude control of quadrotor UAVs is easily disturbed by wind interference. The model of attitude model for quadrotor UAVs is analyzed and established, and the corresponding ADRC attitude control algorithm is given, including tracking differentiator (TD), extended state observer (ESO), and nonlinear state error feedback (NLSEF). In addition, parameter self-tuning is added for NLSEF. Finally, the ADRC algorithm is verified on the open-source flight control platform Pixhawk to realize the hovering flight under wind interference. From the experimental results, ADRC can get better estimation and compensation for the wind interference than PID to ensure the stability of attitude control.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control
EditorsLiang Yan, Haibin Duan, Yimin Deng, Liang Yan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages5617-5628
Number of pages12
ISBN (Print)9789811966125
DOIs
StatePublished - 2023
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2022 - Harbin, China
Duration: 5 Aug 20227 Aug 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume845 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2022
Country/TerritoryChina
CityHarbin
Period5/08/227/08/22

Keywords

  • ADRC
  • Attitude control
  • Parameter self-tuning
  • UAV

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