Modelling magneto-rheological damper using radial basis function neural network

This is a study on modeling the MR damper using RBF. MR damper can be simplify as a damper that using MR fluids. MR fluid contains magnetic particles which will react to current flow when power is supplied. The viscosity of the fluid depends on the current flow. The stiffness of the damper depends o...

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Bibliographic Details
Main Author:	Mohd Fikri, Arifin
Format:	Undergraduates Project Papers
Language:	English
Published:	2013
Subjects:	TL Motor vehicles. Aeronautics. Astronautics
Online Access:	http://umpir.ump.edu.my/id/eprint/8381/ http://umpir.ump.edu.my/id/eprint/8381/ http://umpir.ump.edu.my/id/eprint/8381/1/CD8028_%40_48.pdf

id	ump-8381
recordtype	eprints
spelling	ump-83812015-11-16T00:34:17Z http://umpir.ump.edu.my/id/eprint/8381/ Modelling magneto-rheological damper using radial basis function neural network Mohd Fikri, Arifin TL Motor vehicles. Aeronautics. Astronautics This is a study on modeling the MR damper using RBF. MR damper can be simplify as a damper that using MR fluids. MR fluid contains magnetic particles which will react to current flow when power is supplied. The viscosity of the fluid depends on the current flow. The stiffness of the damper depends on the fluids. This modeling is to achieve the similarity of the results of the experiment using proper machine and apparatus and by using MATLAB software. The data that are obtained from the experiment are used in the MATLAB software to generate graphs. The RBF equations are used in the m-file to get the similarity as the graph from experiment. Comparisons between the graphs are decided by inspection and the most accurate, by using the RMSE graph. The input in m-file is adjusted again and again to get the smallest RMSE as possible 2013-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8381/1/CD8028_%40_48.pdf Mohd Fikri, Arifin (2013) Modelling magneto-rheological damper using radial basis function neural network. Faculty of Mechanical Engineering , Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:83707&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TL Motor vehicles. Aeronautics. Astronautics
spellingShingle	TL Motor vehicles. Aeronautics. Astronautics Mohd Fikri, Arifin Modelling magneto-rheological damper using radial basis function neural network
description	This is a study on modeling the MR damper using RBF. MR damper can be simplify as a damper that using MR fluids. MR fluid contains magnetic particles which will react to current flow when power is supplied. The viscosity of the fluid depends on the current flow. The stiffness of the damper depends on the fluids. This modeling is to achieve the similarity of the results of the experiment using proper machine and apparatus and by using MATLAB software. The data that are obtained from the experiment are used in the MATLAB software to generate graphs. The RBF equations are used in the m-file to get the similarity as the graph from experiment. Comparisons between the graphs are decided by inspection and the most accurate, by using the RMSE graph. The input in m-file is adjusted again and again to get the smallest RMSE as possible
format	Undergraduates Project Papers
author	Mohd Fikri, Arifin
author_facet	Mohd Fikri, Arifin
author_sort	Mohd Fikri, Arifin
title	Modelling magneto-rheological damper using radial basis function neural network
title_short	Modelling magneto-rheological damper using radial basis function neural network
title_full	Modelling magneto-rheological damper using radial basis function neural network
title_fullStr	Modelling magneto-rheological damper using radial basis function neural network
title_full_unstemmed	Modelling magneto-rheological damper using radial basis function neural network
title_sort	modelling magneto-rheological damper using radial basis function neural network
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/8381/ http://umpir.ump.edu.my/id/eprint/8381/ http://umpir.ump.edu.my/id/eprint/8381/1/CD8028_%40_48.pdf
first_indexed	2023-09-18T22:05:53Z
last_indexed	2023-09-18T22:05:53Z
_version_	1777414705221992448

Modelling magneto-rheological damper using radial basis function neural network

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