01782nam a2200265 a 4500 vtls000075887 KUKTEM 20251114204550.0 131107t2012 my da f m 000 0 eng d THE0005510(Local) 201905160955 hanafiah 201311131646 nabilah 201311071238 nabilah UMP QC189.5 .R53 2012 rs Bc. Mohd Ridzwan Ramli Modeling magneto-rheological damper using ANFIS method / Mohd Ridzwan Hj Ramli Kuantan, Pahang : UMP, 2012 xvi, 53 p. : ill. ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang – 2012 Bibliography : p. 48-50 This thesis focused on the development Modeling Magneto-Rheological damper using Adaptive Neuro-Fuzzy Inference System (ANFIS) method. Magneto-Rheological (MR) damper is a semi-active control device and has been characterized by a set of nonlinear differential equations which represent a model of the MR damper. By using this mathematical model, the force of the MR damper is directly solved to a given displacement and applied current. However, solving the non-linear equations describing the performance of the MR damper may be difficult or time consuming to predict a required voltage. One of the methods to model the MR damper is using (ANFIS).It is faster than the mathematical model for keeping the error small. ANFIS has been effectively applied to model complex systems because of its great training process. Magnetic suspension Damping (Mechanics) Fuzzy sets 0 0 0 1 20000 20000 2019-09-04 0 QC189.5 .R53 2012 rs Bc. 0000076111 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 7317 | QC189.5 .R53 2012 rs Bc. 0000076112 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 4219 4225 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*6502*9992