Assessments on the improved modelling for pneumatic artificial muscle actuators

Title Assessments on the improved modelling for pneumatic artificial muscle actuators
Author Peternel, L., Uğurlu, Regaip Barkan, Babic, J., Morimoto, J.
Publication Date: 2015
Publication Place - IEEE
Subject Pneumatic artificial muscle, Modelling, Exoskeleton
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 978-146737509-2
Record ID bc94c51b-5813-4e55-84af-135ccdbc186a
Library Location Mechanical Engineering
Date 2015
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text In this paper, we present an analysis regarding the pneumatic air muscle modelling, with a particular emphasis on the exoskeleton robot control. We propose two calibration approaches for obtaining the model identification data. We used the measurement data acquired from the proposed approaches to identify different mathematical models of pneumatic muscles. These models specified the necessary muscle control pressure for the desired muscle force at a given muscle length value. We compared the performance between the different types of models identified by either of the calibration method. The identified model with the lowest validation error was implemented in pneumatic muscle control for an elbow exoskeleton system. As a result, the system exhibited satisfactory torque and position control tasks, adequately validating the proposed approach.
DOI 10.1109/ICAR.2015.7251430
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Assessments on the improved modelling for pneumatic artificial muscle actuators

Author Peternel, L., Uğurlu, Regaip Barkan, Babic, J., Morimoto, J.
Publication Date 2015
Publication Place - IEEE
Subject Pneumatic artificial muscle, Modelling, Exoskeleton
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 978-146737509-2
Record ID bc94c51b-5813-4e55-84af-135ccdbc186a
Library Location Mechanical Engineering
Date 2015
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text In this paper, we present an analysis regarding the pneumatic air muscle modelling, with a particular emphasis on the exoskeleton robot control. We propose two calibration approaches for obtaining the model identification data. We used the measurement data acquired from the proposed approaches to identify different mathematical models of pneumatic muscles. These models specified the necessary muscle control pressure for the desired muscle force at a given muscle length value. We compared the performance between the different types of models identified by either of the calibration method. The identified model with the lowest validation error was implemented in pneumatic muscle control for an elbow exoskeleton system. As a result, the system exhibited satisfactory torque and position control tasks, adequately validating the proposed approach.
DOI 10.1109/ICAR.2015.7251430
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