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Tremor suppression for 4-DOFs biodynamic hand model using genetic algorithm


Citation

As'arry, Azizan and Rezali, Khairil Anas Md and Jalil, Nawal Aswan Abdul and Samin, Razali and Zulkefli, Zamir Aimaduddin and Zain, Mohd Zarhamdy Md. (2017) Tremor suppression for 4-DOFs biodynamic hand model using genetic algorithm. International Journal of Advanced Mechatronic Systems, 7 (3). 151 - 157. ISSN 1756-8412; ESSN: 1756-8420

Abstract / Synopsis

A person who has severe hand tremor will have difficulty in doing specific tasks such as eating, combing or holding any objects. Currently, there is no medication that can cure the tremor. Thus, this study proposes the active tremor control, in which an intelligent controller is applied to suppress the hand tremor. The main objective is to optimise the proportional-integral (PI) controller using genetic algorithm (GA). A linear voice coil actuator (LVCA) is applied onto a four degree of freedom (4-DOF) human hand model represented in state space. The findings of the study demonstrate that the PI controller optimised by GA gives excellent performance in reducing the tremor error. Based on the frequency evaluation, the PI controller performance was roughly around 84% in reducing the peak of simulated hand tremor. The outcomes provide an important contribution towards achieving novel methods in suppressing hand tremor model by means of intelligent control.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1504/IJAMECHS.2017.10007355
Publisher: Inderscience Publisher
Keywords: Human hand tremor; Active tremor control; Genetic algorithm
Depositing User: Mohd Hafiz Che Mahasan
Date Deposited: 07 Nov 2018 11:23
Last Modified: 07 Nov 2018 11:23
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1504/IJAMECHS.2017.10007355
URI: http://psasir.upm.edu.my/id/eprint/63611
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