Modeling the magneto- rheological damper using recurrent neural network method

Modeling the magneto- rheological damper using recurrent neural network method

This thesis is study about modeling the Magnetorheological damper using Recurrent Neural Network method. Five different values of current were used in order to modeling the MR damper, which are 0.0 ampere, 0.5 ampere, 1.0 ampere, 1.5 ampere and 2.0 ampere. In order to modeling the MR damper, the gra...

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Bibliographic Details
Main Author: Muhammad Afiq Naquiddin, Abd Rahman
Format: Undergraduates Project Papers
Language:English
Published: 2012
Subjects:
TL Motor vehicles. Aeronautics. Astronautics
Online Access:http://umpir.ump.edu.my/id/eprint/4426/
http://umpir.ump.edu.my/id/eprint/4426/
http://umpir.ump.edu.my/id/eprint/4426/1/cd6632_63.pdf
id ump-4426
recordtype eprints
spelling ump-44262015-03-03T09:18:58Z http://umpir.ump.edu.my/id/eprint/4426/ Modeling the magneto- rheological damper using recurrent neural network method Muhammad Afiq Naquiddin, Abd Rahman TL Motor vehicles. Aeronautics. Astronautics This thesis is study about modeling the Magnetorheological damper using Recurrent Neural Network method. Five different values of current were used in order to modeling the MR damper, which are 0.0 ampere, 0.5 ampere, 1.0 ampere, 1.5 ampere and 2.0 ampere. In order to modeling the MR damper, the graph of simulation damper will be compared with the experimental damper. The results will get the Square Error for the simulation damper. Then, the Root Mean Square Error will be calculated to get the difference between the simulation damper and experimental damper. The results show that the lowest RMSE for the simulation damper were value 0.4008, while the highest RMSE is 1.9882. From the results also, the better current value to modeling the MR damper is using the MR damper with the lowest RMSE. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4426/1/cd6632_63.pdf Muhammad Afiq Naquiddin, Abd Rahman (2012) Modeling the magneto- rheological damper using recurrent neural network method. Faculty of Mechanical Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:72062&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
Muhammad Afiq Naquiddin, Abd Rahman
Modeling the magneto- rheological damper using recurrent neural network method
description This thesis is study about modeling the Magnetorheological damper using Recurrent Neural Network method. Five different values of current were used in order to modeling the MR damper, which are 0.0 ampere, 0.5 ampere, 1.0 ampere, 1.5 ampere and 2.0 ampere. In order to modeling the MR damper, the graph of simulation damper will be compared with the experimental damper. The results will get the Square Error for the simulation damper. Then, the Root Mean Square Error will be calculated to get the difference between the simulation damper and experimental damper. The results show that the lowest RMSE for the simulation damper were value 0.4008, while the highest RMSE is 1.9882. From the results also, the better current value to modeling the MR damper is using the MR damper with the lowest RMSE.
format Undergraduates Project Papers
author Muhammad Afiq Naquiddin, Abd Rahman
author_facet Muhammad Afiq Naquiddin, Abd Rahman
author_sort Muhammad Afiq Naquiddin, Abd Rahman
title Modeling the magneto- rheological damper using recurrent neural network method
title_short Modeling the magneto- rheological damper using recurrent neural network method
title_full Modeling the magneto- rheological damper using recurrent neural network method
title_fullStr Modeling the magneto- rheological damper using recurrent neural network method
title_full_unstemmed Modeling the magneto- rheological damper using recurrent neural network method
title_sort modeling the magneto- rheological damper using recurrent neural network method
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/4426/
http://umpir.ump.edu.my/id/eprint/4426/
http://umpir.ump.edu.my/id/eprint/4426/1/cd6632_63.pdf
first_indexed 2023-09-18T21:59:00Z
last_indexed 2023-09-18T21:59:00Z
_version_ 1777414271394643968

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