Motion And Grasping Control Method Of 2-Dof Robotic Finger

The focus of this paper is the grasping control and tracking performances for the two degrees of freedom (2-DOF) robotic finger mechanism in accomplishing precision motion control as the initial study in the development of a multi-fingered robotic hand system. In the robotic hand mechanism, behaviou...

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Main Authors: Md Ghazaly, Mariam, Mohamad Yuden, Mohamad Adzeem, Che Amran, Aliza
Format: Article
Language:English
Published: International Journals of Engineering and Sciences Publisher 2019
Online Access:http://eprints.utem.edu.my/id/eprint/24584/2/191005-7373-IJMME-IJENS.PDF
http://eprints.utem.edu.my/id/eprint/24584/
http://ijens.org/Vol_19_I_05/191005-7373-IJMME-IJENS.pdf
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Institution: Universiti Teknikal Malaysia Melaka
Language: English
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spelling my.utem.eprints.245842020-12-08T12:51:33Z http://eprints.utem.edu.my/id/eprint/24584/ Motion And Grasping Control Method Of 2-Dof Robotic Finger Md Ghazaly, Mariam Mohamad Yuden, Mohamad Adzeem Che Amran, Aliza The focus of this paper is the grasping control and tracking performances for the two degrees of freedom (2-DOF) robotic finger mechanism in accomplishing precision motion control as the initial study in the development of a multi-fingered robotic hand system. In the robotic hand mechanism, behaviours like large steady-state error, instability, and poor transient performance are often observed. For this research, the proposed controllers will rely on each motor joint's angular position control, which refers to the position control possessed by the 2-DOF robotic finger mechanism. Three various control approaches namely (i) Fuzzy Logic controller (FLC) (ii) Proportional Integral Derivative (PID) controller and (iii) Linear Quadratic Regulator (LQR) controllers were selected for comparison via experimental and simulation works. Validation of the controller results was performed by tracking control and grasping control, with frequency ranges from 0.1 Hz to 0.5 Hz at various reference amplitudes. Based on the results of the analysis, it was concluded that LQR controller had the best performance for tracking control. The LQR controller exhibited a 98.5% (0.11 °) improvement in steady-state error compared to an uncompensated system based on a series of experimental tracking tests. Another conclusion was that the 2-DOF robotic finger mechanism was also successful in grasping tasks with the Fuzzy controller being used by the specific reference trajectory. International Journals of Engineering and Sciences Publisher 2019-10 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/24584/2/191005-7373-IJMME-IJENS.PDF Md Ghazaly, Mariam and Mohamad Yuden, Mohamad Adzeem and Che Amran, Aliza (2019) Motion And Grasping Control Method Of 2-Dof Robotic Finger. International Journal of Mechanical and Mechatronics Engineering, 19 (5). pp. 50-55. ISSN 2227-2771 http://ijens.org/Vol_19_I_05/191005-7373-IJMME-IJENS.pdf
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description The focus of this paper is the grasping control and tracking performances for the two degrees of freedom (2-DOF) robotic finger mechanism in accomplishing precision motion control as the initial study in the development of a multi-fingered robotic hand system. In the robotic hand mechanism, behaviours like large steady-state error, instability, and poor transient performance are often observed. For this research, the proposed controllers will rely on each motor joint's angular position control, which refers to the position control possessed by the 2-DOF robotic finger mechanism. Three various control approaches namely (i) Fuzzy Logic controller (FLC) (ii) Proportional Integral Derivative (PID) controller and (iii) Linear Quadratic Regulator (LQR) controllers were selected for comparison via experimental and simulation works. Validation of the controller results was performed by tracking control and grasping control, with frequency ranges from 0.1 Hz to 0.5 Hz at various reference amplitudes. Based on the results of the analysis, it was concluded that LQR controller had the best performance for tracking control. The LQR controller exhibited a 98.5% (0.11 °) improvement in steady-state error compared to an uncompensated system based on a series of experimental tracking tests. Another conclusion was that the 2-DOF robotic finger mechanism was also successful in grasping tasks with the Fuzzy controller being used by the specific reference trajectory.
format Article
author Md Ghazaly, Mariam
Mohamad Yuden, Mohamad Adzeem
Che Amran, Aliza
spellingShingle Md Ghazaly, Mariam
Mohamad Yuden, Mohamad Adzeem
Che Amran, Aliza
Motion And Grasping Control Method Of 2-Dof Robotic Finger
author_facet Md Ghazaly, Mariam
Mohamad Yuden, Mohamad Adzeem
Che Amran, Aliza
author_sort Md Ghazaly, Mariam
title Motion And Grasping Control Method Of 2-Dof Robotic Finger
title_short Motion And Grasping Control Method Of 2-Dof Robotic Finger
title_full Motion And Grasping Control Method Of 2-Dof Robotic Finger
title_fullStr Motion And Grasping Control Method Of 2-Dof Robotic Finger
title_full_unstemmed Motion And Grasping Control Method Of 2-Dof Robotic Finger
title_sort motion and grasping control method of 2-dof robotic finger
publisher International Journals of Engineering and Sciences Publisher
publishDate 2019
url http://eprints.utem.edu.my/id/eprint/24584/2/191005-7373-IJMME-IJENS.PDF
http://eprints.utem.edu.my/id/eprint/24584/
http://ijens.org/Vol_19_I_05/191005-7373-IJMME-IJENS.pdf
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