Research on UAV Control Based on ESO-Based Global Fast Terminal Sliding Mode Adaptive Control

Ziwen Yang, Xiaolan Yao, Qing Fei

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

Abstract

In this paper, a global fast terminal sliding mode controller based on an extended state observer is proposed for for precise tracking of reference trajectories of unmanned aerial vehicles with uncertain parameters. First, for the dynamics model of underdriven strong coupling of quadrotor, the theory of differential flatness is introduced to transform the model into a fully driven model, and the coupling terms in the model are considered as external perturbations. Then a global fast sliding mode controller is designed based on the position error and velocity error, and an extended state observer is introduced in the controller to observe the internal and external perturbations of the system. Finally, the adaptive law estimation parameters are designed for the problem of parameter changes when the quadrotor performs its mission to ensure the accurate and stable tracking on the trajectory of the quadrotor. The simulation experiments prove the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 2023 China Automation Congress, CAC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6091-6096
Number of pages6
ISBN (Electronic)9798350303759
DOIs
Publication statusPublished - 2023
Event2023 China Automation Congress, CAC 2023 - Chongqing, China
Duration: 17 Nov 202319 Nov 2023

Publication series

NameProceedings - 2023 China Automation Congress, CAC 2023

Conference

Conference2023 China Automation Congress, CAC 2023
Country/TerritoryChina
CityChongqing
Period17/11/2319/11/23

Keywords

  • extended state observer
  • parameters adaptive
  • sliding moede controller

Fingerprint

Dive into the research topics of 'Research on UAV Control Based on ESO-Based Global Fast Terminal Sliding Mode Adaptive Control'. Together they form a unique fingerprint.

Cite this