Investigating the Effect of Mass Variation for Sliding Mode Control of Functional Electrical Stimulation Aided Sit-to-Stand in Paraplegia

Mohammed Ahmed, M. S. Huq, B. S.K.K. Ibrahim

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

    2 Citations (Scopus)

    Abstract

    Presented is an evaluation of the sliding mode controller (SMC) for regulation of Functional Electrical Stimulation (FES) induced sit-to-stand (STS) movement considering a global human mass variation. It is aimed at the elimination of the retuning issue associated with control systems for different subjects. Results show that despite the changes in mass the control system maintained the tracking error close to zero; that is close to the desired, and without any disturbance scenario, it was also achieved within the suitable specifications. Thus, it shows that the SMC system can be employed to solve the issue of universality; therefore relieving the necessity of altering the control parameters always.

    Original languageEnglish
    Title of host publicationProceedings - 2019 IEEE 15th International Colloquium on Signal Processing and its Applications, CSPA 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages223-228
    Number of pages6
    ISBN (Electronic)9781538675632
    DOIs
    Publication statusPublished - 22 Apr 2019
    Event15th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2019 - Penang, Malaysia
    Duration: 8 Mar 20199 Mar 2019

    Publication series

    NameProceedings - 2019 IEEE 15th International Colloquium on Signal Processing and its Applications, CSPA 2019

    Conference

    Conference15th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2019
    Country/TerritoryMalaysia
    CityPenang
    Period8/03/199/03/19

    Keywords

    • Functional electrical stimulation
    • Global human mass variation
    • Induced sit-to-stand
    • Paraplegia
    • Sliding mode control

    ASJC Scopus subject areas

    • Signal Processing

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