The Control of a Lower Limb Exoskeleton for Gait Rehabilitation: A Hybrid Active Force Control Approach

A. P.P.A. Majeed*, Z. Taha, A. F.Z. Abidin, M. A. Zakaria, I. M. Khairuddina, M. A.M. Razman, Z. Mohamed

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

19 Citations (Scopus)

Abstract

This paper focuses on the modelling and control of a three-link lower limb exoskeleton for gait rehabilitation. The exoskeleton that is restricted to the sagittal plane is modelled together with a human lower limb model. In this case study, a harmonic disturbance is excited at the joints of the exoskeleton whilst it is carrying out a joint space trajectory tracking. The disturbance is introduced to examine the compensating efficacy of the proposed controller. A particle swarm optimised active force control strategy is proposed to augment the disturbance regulation of a conventional proportional-derivative (PD) control law. The simulation study suggests that the proposed control approach mitigates well the disturbance effect whilst maintaining its tracking performance which is seemingly in stark contrast with its traditional PD counterpart.

Original languageEnglish
Pages (from-to)183-190
Number of pages8
JournalProcedia Computer Science
Volume105
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventIEEE International Symposium on Robotics and Intelligent Sensors, IRIS 2016 - Tokyo, Japan
Duration: 17 Dec 201620 Dec 2016

Keywords

  • active force control
  • gait rehabilitation
  • particle swarm optimisation
  • robust
  • three-link manipulator
  • trajectory tracking control

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