Novel solutions on model-based and model-free robotic-assisted ankle rehabilitation

Juan Carlos Arceo*, Jorge Álvarez, Carlos Armenta, Jimmy Lauber, Sylvain Cremoux, Emilie Simoneau-Buessinger, Miguel Bernal

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

1 Citation (Scopus)

Abstract

In this report, ankle rehabilitation routines currently approved by physicians are implemented via novel control algorithms on a recently appeared robotic device known as the motoBOTTE. The physician specifications for gait cycles are translated into robotic trajectories whose tracking is performed twofold depending on the availability of a model: (1) if obtained via the Euler-Lagrange approach along with identification of unknown plant parameters, a new computed-torque control law is proposed; it takes into account the parallel-robot characteristics; (2) if not available, a variation of the active disturbance rejection control technique whose parameters need to be tuned, is employed. A detailed discussion on the advantages and disadvantages of the model-based and model-free results, from the continuous-time simulation to the discrete-time implementation, is included.

Original languageEnglish
JournalArchives of Control Sciences
Volume31
Issue number1
Pages (from-to)5-27
Number of pages23
ISSN1230-2384
DOIs
Publication statusPublished - 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021. The Author(s).

Keywords

  • Active disturbance rejection
  • Computed torque control
  • Differential algebraic equations
  • Parallel rehabilitation robot
  • Real-time implementation
  • System identification

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