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Assessments on the improved modelling for pneumatic artificial muscle actuators

İsim Assessments on the improved modelling for pneumatic artificial muscle actuators
Yazar Peternel, L., Uğurlu, Regaip Barkan, Babic, J., Morimoto, J.
Basım Tarihi: 2015
Basım Yeri - IEEE
Konu Pneumatic artificial muscle, Modelling, Exoskeleton
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 978-146737509-2
Kayıt Numarası bc94c51b-5813-4e55-84af-135ccdbc186a
Lokasyon Mechanical Engineering
Tarih 2015
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin 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

Yazar Peternel, L., Uğurlu, Regaip Barkan, Babic, J., Morimoto, J.
Basım Tarihi 2015
Basım Yeri - IEEE
Konu Pneumatic artificial muscle, Modelling, Exoskeleton
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 978-146737509-2
Kayıt Numarası bc94c51b-5813-4e55-84af-135ccdbc186a
Lokasyon Mechanical Engineering
Tarih 2015
Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin 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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