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Integral Adaptive Sliding Mode Control for Quadcopter UAV Under Variable Payload and Disturbance

  • Ahmed Eltayeb*
  • , Mohd Fua ad Rahmat*
  • , Mohd Ariffanan Mohd Basri
  • , M. A.Mohammed Eltoum
  • , Magdi Sadek Mahmoud
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

The quadcopter unmanned aerial vehicle (UAV) system is considered a good platform for control scheme design as it is highly nonlinear with coupled dynamics and an under-actuated system. Considering these challenges, this manuscript aimed to propose a control algorithm to control the quadcopter system in the presence of uncertainty and disturbance influences. The integral adaptive sliding mode control scheme has been proposed to control the system. The proposed control scheme is composed of the outer loop controller to control the position of the quadcopter, while the inner loop controls the attitude of the quadcopter. The proposed control law has three major terms, firstly the equivalent control which is developed based on the Lyapunov approach to handle most of the uncertainty and disturbance, secondly the adaptive switching gain, which is achieving fast adaptation against uncertainty, finally the switching function which has been approximated by a tangent hyperbolic function to reduce the unwanted chattering phenomena. The proposed control scheme and its performance have been investigated via a MATLAB/Simulink. The results prove that the implemented control scheme is robust even in the presence of uncertainties and disturbance and the quadcopter tracks the predefined trajectories with limited chattering influence.

Original languageEnglish
Pages (from-to)94754-94764
Number of pages11
JournalIEEE Access
Volume10
DOIs
StatePublished - 2022

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Keywords

  • Quadcopter UAV
  • adaptive control
  • chattering reduction
  • integral SMC control

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

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