Mohamad Luqman, Zaki Monsarif (2013) Modeling magneto-rheological damper using neural network and simulated annealing. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
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Abstract
This thesis is study about modeling the Magneto-rheological damper using Neural Network and Simulated Annealing 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 1.282457, while the highest RMSE is 13.18909. From the results also, the better current value to modeling the MR damper is using the MR damper with the lowest RMSE.
| Item Type: | Undergraduates Project Papers |
|---|---|
| Additional Information: | Project paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2013, SV: DR. GIGIH PRIYANDOKO, CD NO. 8193 |
| Uncontrolled Keywords: | Automobiles Springs and suspension; Design and construction; Damping (Mechanics) |
| Subjects: | T Technology > TL Motor vehicles. Aeronautics. Astronautics |
| Faculty/Division: | Faculty of Mechanical Engineering |
| Depositing User: | Mr. Nik Ahmad Nasyrun Nik Abd Malik |
| Date Deposited: | 16 Nov 2015 08:11 |
| Last Modified: | 27 Apr 2023 06:53 |
| URI: | http://umpir.ump.edu.my/id/eprint/8267 |
| Download Statistic: | View Download Statistics |
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