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Flatness Design Control for Therapeutic Robot Based on Fuzzy Controller

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

Abstract

This study presents a flatness-based controller with fuzzy logic controller combined for controlling the artificial limb 2-DOF portable end-effector type therapeutic robot called iTbot (intelligent therapeutic robot). Compared with the most developed rehabilitation robots, this prototype has been operated at multiple manually selectable orientations to implement a wide range of robot-aided exercises for stroke survivors. To provide effective rehabilitation along with the physical therapy activities, we present the differential geometry transformations of the system to obtain triangu-lar canonical normal forms incorporated with fuzzy pre-compensator to achieve a high speed and high precision of specified trajectory. Simulations results show the efficiency of the suggested controller scheme.

Original languageEnglish
Title of host publication2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1899-1905
Number of pages7
ISBN (Electronic)9781665471084
DOIs
StatePublished - 2022
Externally publishedYes
Event19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022 - Setif, Algeria
Duration: 6 May 202210 May 2022

Publication series

Name2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022

Conference

Conference19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022
Country/TerritoryAlgeria
CitySetif
Period6/05/2210/05/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Differential flatness
  • Normal form
  • Rehabilitation robots
  • iTbot
  • portability

ASJC Scopus subject areas

  • Instrumentation
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality

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