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Finite Settling Time Control of Nonlinear Systems in Presence of Matched Perturbations using Barrier Lyapunov Function

  • Saeed Mazhar
  • , Rameez Khan
  • , Fahad Mumtaz Malik
  • , Anjum Saeed
  • , Hameed Ullah

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

4 Scopus citations

Abstract

In this paper, a novel control method is proposed using barrier Lyapunov function and conventional sliding mode control such that the finite time tracking is achieved. The proposed controller is robust to matched perturbations and a settling time calculation is provided such that the tracking error is within an acceptable value. Furthermore, if output of system is initially in a realistic bound, it is guaranteed to stay in that bound for all future time. The stability analysis of designed controller is presented based on Lyapunov theorem. The simulations are conducted for two numerical examples. In first example, the stabilization of a double integrator without disturbance is considered and phase portrait of states is shown graphically to analyze the controller. In second example, the tracking of single inverted pendulum is simulated in presence of disturbances. The results show the efficacy of the proposed controller.

Original languageEnglish
Title of host publication2021 International Conference on Robotics and Automation in Industry, ICRAI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665423434
DOIs
StatePublished - 2021
Externally publishedYes
Event4th International Conference on Robotics and Automation in Industry, ICRAI 2021 - Rawalpindi, Pakistan
Duration: 26 Oct 202127 Oct 2021

Publication series

Name2021 International Conference on Robotics and Automation in Industry, ICRAI 2021

Conference

Conference4th International Conference on Robotics and Automation in Industry, ICRAI 2021
Country/TerritoryPakistan
CityRawalpindi
Period26/10/2127/10/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Barrier sliding mode
  • Constrained control
  • Finite time control nonsingular finite time control
  • Robust constrained control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering
  • Control and Optimization

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