Optimal attitude tracking control for an unmanned aerial quadrotor under lumped disturbances

Li Ding (Corresponding Author), Yangmin Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)

Abstract

The robust control problem in attitude tracking of an unmanned aerial vehicle quadrotor is a challenging task due to strong parametric uncertainties, large nonlinearities and high couplings in flight dynamics. In this paper, a continuous nonsingular fast terminal sliding mode controller based on linear extended state observer is proposed for attitude tracking control of a quadrotor under lumped disturbances. The proposed control method requires no prior knowledge of the attitude dynamics. It can ensure rapid convergence rate and high tracking precision due to terminal sliding mode surface and fast reaching law. The controller uses the linear extended state observer to reject the influence of both parametric uncertainties and external disturbances. Meanwhile, the nonsingular fast terminal sliding mode control strategy is designed to ensure the state variables to slide to desired points in finite time. To enhance the control performance, a self-adaptive fruit fly optimization algorithm is applied to parameters tuning of the proposed controller. The effectiveness of the proposed control approach is illustrated through numerical simulations and experimental verification.

Original languageEnglish
Pages (from-to)1-14
JournalInternational Journal of Micro Air Vehicles
Volume12
DOIs
Publication statusPublished - 4 Jun 2020

Keywords

  • attitude tracking control
  • fruit fly optimization algorithm
  • linear extended state observer
  • Quadrotor
  • terminal sliding mode

ASJC Scopus subject areas

  • Aerospace Engineering

Fingerprint

Dive into the research topics of 'Optimal attitude tracking control for an unmanned aerial quadrotor under lumped disturbances'. Together they form a unique fingerprint.

Cite this