01718nam a2200193 a 4500001001400000003000700014005001700021008004100038020002200079040000800101100002100109245009700130260003400227300005700261502009300318504002800411520106100439650002401500vtls000077845KUKTEM20251114204405.0140429t2012    my a   f m    000 0 eng d  aTHE0007374(Local)  aUMP0 aAmeer Farez Amre10aModeling magneto-rheological  (MR) damper using neuro -fuzzy (NF) method /cAmeer Farez Amre  aKuantan, Pahang :bUMP,c2012  axiv, 61 p. :bill. (some col.) ;c30 cm. +e1 CD-ROM  aProject paper ( Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2012  aBibilography : p. 53-543 aThe purpose of this thesis present about modeling magneto-rheological (MR) damper using neuro-fuzzy (NF) method. Simulation using MATLAB were use to simulate and modeling the MR damper. Previously, experimental method test were done by injecting five different currents (0A, 0.5A, 1A, 1.5A and 2A). Afterward, simulation test using NF method is done with the same process by injecting fives different current as well. For the early process, NF coding and block diagram were designed before fully run the simulation test. Damping force predict by NF was obtained. The value of learning rate and weights are tuned to obtain the desire result from NF method. Result from NF method was compared with the result collected from actual experiment. The difference between the actual damping force from experimental and the damping force obtain by NF method was calculated by plotted the error. Root mean square error (RMSE) were use to visualize the error and at the end of this project, smallest value of RMSE at the rate current of 2A that were obtain is 0.0179. 0aDamping (Mechanics)