MARC View

000			01947nam a2200241 a 4500
001			vtls000077845
003			KUKTEM
005			20251114204405.0
008			140429t2012 my a f m 000 0 eng d
020			_aTHE0007374(Local)
039		9	_a201905151048 _bfawwaz _y201404290952 _ztraining4
040			_aUMP
090			_aTL574.S7 A44 2012 rs Bc.
100	0		_aAmeer Farez Amre
245	1	0	_aModeling magneto-rheological (MR) damper using neuro -fuzzy (NF) method / _cAmeer Farez Amre
260			_aKuantan, Pahang : _bUMP, _c2012
300			_axiv, 61 p. : _bill. (some col.) ; _c30 cm. + _e1 CD-ROM
502			_aProject paper ( Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2012
504			_aBibilography : p. 53-54
520	3		_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.
650		0	_aDamping (Mechanics)
999			_aVIRTUA40 _c1213 _d1219
999			_aVTLSSORT0080020004000900100024502600300050205040520065009992