Antagonistic mono- and bi-articular pneumatic muscle actuator control for gait training system using contraction model

M. A.Mat Dzahir, T. Nobutomo, S. I. Yamamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In recent years, the use of the pneumatic muscle actuator (PMA) to acquire greater power from the actuation system especially for the development of medical rehabilitation robotic for gait training system has increased. Usually, the biarticular actuators are treated as a redundancy in actuation since the number of actuators is greater than the number of joints. However, these actuators are able to generate a strong force due to wider range of motion compared to the mono-articular actuators and it is thought to generate instantaneous force. In the case of lower orthotic gait training system, the implementation of antagonistic bi-articular actuators along with mono-articular actuators plays a major role to achieve the required afferent input for the lower limb and hip joint as well as smooth and precise movements at the endpoint. One of the important characteristics of PMA is based on its muscle contraction. In this study, we modelled mathematical equations to determine the muscle contraction pattern for the antagonistic mono- and biarticular PMAs as a function of the hip and knee angles in which its magnitude is influenced by the anterior and posterior muscle activation levels. From this model, we are able to determine the input pressure for each of the antagonistic mono- and bi-articular PMAs and then control the system using a feedback controller.

Original languageEnglish
Title of host publication2013 ISSNIP-IEEE Biosignals and Biorobotics Conference
Subtitle of host publicationBiosignals and Robotics for Better and Safer Living, BRC 2013
DOIs
Publication statusPublished - 2013
Event2013 4th ISSNIP-IEEE Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2013 - Rio de Janeiro, Brazil
Duration: 2013 Feb 182013 Feb 20

Publication series

NameISSNIP Biosignals and Biorobotics Conference, BRC
ISSN (Print)2326-7771
ISSN (Electronic)2326-7844

Conference

Conference2013 4th ISSNIP-IEEE Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2013
Country/TerritoryBrazil
CityRio de Janeiro
Period13/2/1813/2/20

Keywords

  • Mono-articular actuator
  • bi-articular actuator
  • contraction model
  • control system
  • pneumatic muscle actuator

ASJC Scopus subject areas

  • Bioengineering
  • Artificial Intelligence
  • Information Systems
  • Signal Processing

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