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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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2012
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| Online Access: | http://umpir.ump.edu.my/id/eprint/4426/1/Modeling%20the%20magneto-%20rheological%20damper%20using%20recurrent%20neural%20network%20method.pdf |
| _version_ | 1796989803571445760 |
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| author | Muhammad Afiq Naquiddin, Abd Rahman |
| author_facet | Muhammad Afiq Naquiddin, Abd Rahman |
| author_sort | Muhammad Afiq Naquiddin, Abd Rahman |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T11:42:29Z |
| format | Undergraduates Project Papers |
| id | UMPir4426 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:42:29Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | UMPir44262023-04-28T08:13:02Z 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 pdf en http://umpir.ump.edu.my/id/eprint/4426/1/Modeling%20the%20magneto-%20rheological%20damper%20using%20recurrent%20neural%20network%20method.pdf Muhammad Afiq Naquiddin, Abd Rahman (2012) Modeling the magneto- rheological damper using recurrent neural network method. Faculty of Mechanical Engineering, Universiti Malaysia Pahang. |
| spellingShingle | TL Motor vehicles. Aeronautics. Astronautics Muhammad Afiq Naquiddin, Abd Rahman Modeling the magneto- rheological damper using recurrent neural network method |
| title | 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_short | Modeling the magneto- rheological damper using recurrent neural network method |
| title_sort | modeling the magneto rheological damper using recurrent neural network method |
| topic | TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/4426/1/Modeling%20the%20magneto-%20rheological%20damper%20using%20recurrent%20neural%20network%20method.pdf |
| work_keys_str_mv | AT muhammadafiqnaquiddinabdrahman modelingthemagnetorheologicaldamperusingrecurrentneuralnetworkmethod |