A novel modified super-twisting control augmented feedback linearization for wearable robotic systems using time delay estimation

Brahim Brahmi*, Ibrahim El Bojairami, Tanvir Ahmed, Asif Al Zubayer Swapnil, Mohammad Assaduzzaman, Inga Wang, Erin McGonigle, Mohammad Habibur Rahman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The research presents a novel controller designed for robotic systems subject to nonlinear uncertain dynamics and external disturbances. The control scheme is based on the modified supertwisting method, input/output feedback linearization, and time delay approach. In addition, to minimize the chattering phenomenon and ensure fast convergence to the selected sliding surface, a new reaching law has been integrated with the control law. The control scheme aims to provide high performance and enhanced accuracy via limiting the effects brought by the presence of uncertain dynamics. Stability analysis of the closed-loop system was conducted using a powerful Lyapunov function, showing finite time convergence of the system’s errors. Lastly, experiments shaping rehabilitation tasks, as performed by healthy subjects, demonstrated the controller’s efficiency given its uncertain nonlinear dynamics and the external disturbances involved.

Original languageEnglish
Article number597
JournalMicromachines
Volume12
Issue number6
DOIs
StatePublished - 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Feedback linearization
  • Super-twisting control
  • Time delay estimation
  • Uncertain dynamics

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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