000 02264nam a2200253 a 4500
001 vtls000040633
003 KUKTEM
005 20251114204405.0
008 090721t2009 my ao f m 000 0 eng d
020 _aTHE0006997(Local)
039 9 _a201906131416
_baida
_c201107132155
_dVLOAD
_c200908141650
_dVLOAD
_c200908141631
_dVLOAD
_y200907211542
_zkam
040 _aUMP
090 _aTK7872.P76 Z35 2009 rs Bc.
100 0 _aZakaria Abdul Rahman
245 1 0 _aSpeed control of buck-converter driven DC motor using PD-type fuzzy logic controller /
_cZakaria Bin Abdul Rahman
246 3 _aSpeed control of buck-converter driven DC motor using PD-type fuzzy logic controller
_h[electronic resource]
260 _aKuantan, Pahang :
_bUMP,
_c2009
300 _a48 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 computer disc
502 _aProject paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2009
520 3 _aThe purpose of this project is to control speed of buck converter driven DC motor using PD-type fuzzy logic controller. At the beginning, the simulation (MATLAB simulink) is started with buck converter driven DC motor modeling. In this project, PD-type fuzzy logic controller is designed based on the membership function and the rule base. Thus, the designed PD-type fuzzy logic is applied to the buck converter driven DC motor model. The objective of the simulation is to predict the system response of the buck converter driven DC motor with different membership function. For the first model of PD-type fuzzy logic controller, it will use 3 membership functions which are equal to 9 rule base. Then for the second simulation, it will use 5 membership functions which are equal to 25 rule base and the last model of controller use 7 membership function that are equal to 49 rules. Fuzzy logic controller that is capable of improving its performance in the control of a nonlinear system whose dynamics is unknown or uncertain. This direct learning fuzzy controller is able to improve its performance without having to identify a model of the plant.
650 0 _aFuzzy logic
650 0 _aProgrammable logic controllers
999 _aVIRTUA40
_c1210
_d1216
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*9992