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Compliance Flatness Based Control of a Collaborative Upper-Limb Exoskeleton Robot

  • Brahim Brahmi*
  • , Tanvir Ahmed
  • , Soraya Bououden
  • , Maarouf Saad
  • , Mohammad H. Rahman
  • *Corresponding author for this work

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

Abstract

This paper focuses on two challenges when developing the Smart Robotic Exoskeleton (SREx), a new exoskeleton robot that collaborates with individuals with Upper Limb dys-functions. The first challenge is estimating the wearer's desired intended motion (DIM) for the robot accurately. The second challenge is implementing a robust control strategy for the SREx, which entails transforming variables to achieve the triangular flat canonical normal form (TCNF) for nonlinear dynamic systems with the flatness geometric property. Damped Least Square (DLS) is used in the proposed geometrical transformation-based control strategy to link the estimated DIM to the flatness-compliant control, allowing the SREx to track the wearer's motion easily. Experiments and comparative studies are presented to show the effectiveness of the proposed control scheme.

Original languageEnglish
Title of host publication14th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350399967
DOIs
StatePublished - 2023
Externally publishedYes
Event14th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2023 - Montreal, Canada
Duration: 7 Aug 202310 Aug 2023

Publication series

NameProceedings of the International Conference on Power Electronics and Drive Systems
Volume2023-August
ISSN (Print)2164-5256
ISSN (Electronic)2164-5264

Conference

Conference14th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2023
Country/TerritoryCanada
CityMontreal
Period7/08/2310/08/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Compliant control
  • Flatness control
  • exoskeleton robots
  • force controller.

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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