New Adaptive Sliding Mode for Unperturbed Forearm and Wrist Rehabilitation Robot

  • Brahim Brahmi
  • , Ibrahim El Bojairami
  • , Tanvir Ahmed
  • , Mohammad Habibur Rahman
  • , Asif Al Zubayer Swapnil
  • , Javier Sanjuan De Caro

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

3 Scopus citations

Abstract

The paper put forth presents the design and validation of a novel adaptive, variable gain, sliding mode control (SMC) reaching law, for the purpose of controlling unperturbed nonlinear systems. The novelty of this law stems from its capability to overcome the main limitations involved with conventional SMCs. In contrast to existing reaching laws, the presented law is potentially able to achieve high system performance, reduce the chattering problem significantly, and ensure fast convergence of system trajectories to equilibrium. The designed law integrates the features of both, the exponential reaching law (ERL) and the power rate reaching law (PRL), meanwhile, it overcomes their limitations. Simulation and comparison case studies against ERL and PRL are also carried out with Forearm and Wrist Rehabilitation Robot to validate the effectiveness and advantages of the proposed reaching law scheme (Proposed RL).

Original languageEnglish
Title of host publication18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1160-1165
Number of pages6
ISBN (Electronic)9781665414937
DOIs
StatePublished - 22 Mar 2021
Externally publishedYes

Publication series

Name18th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

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