000 02136nam a2200253 a 4500
001 vtls000075407
003 KUKTEM
005 20251114204542.0
008 131016t2012 my da f m 000 0 eng d
020 _aTHE0006614(Local)
039 9 _a201905161250
_bamirul
_c201311201659
_dnabilah
_y201310161151
_znabilah
040 _aUMP
090 _aTJ1225 .Z34 2012 rs Bc.
100 0 _aMohd Zafrullah Zulkifli
245 1 0 _aFuzzy PID controller applied on milling machine /
_cMohd Zafrullah Zulkifli
260 _aKuantan, Pahang :
_bUMP,
_c2012
300 _axv, 67 p. :
_bill. ;
_c30 cm. +
_e1 CD-ROM
502 _aProject paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang – 2012
504 _aBibliography : p. 63-65
520 3 _aThis project report deals with development of the control system for the milling machine. Vibration during turning process caused chatter in surface product and affects the outcome of products. The control system used to suppress vibration a chatter using machining process. Dynamic model diagram and mathematically model had derived from the two degree of freedom (2-DOF) for the cutting tool. The research project has only focused to Y-axis direction for milling machine. Control system used in this project is passive system. For active system that had been introduces two type of controller such as typically technique proportional-integral-derivative (PID) and Fuzzy Logic Control (FLC). To complete the active system, linear actuator had been used. The simulation had been run using MATLAB/SIMULINK software. Comparative study had been done between passive and active control system. From comparative study, Fuzzy PID showed an effectiveness result that suppresses vibration during machining process. Fuzzy PID produced small error nether than typically PID and passive system. For the conclusion Fuzzy PID controller is superior robust, stable and accurate controller compare the PID controller.
650 0 _aMilling-machines
650 0 _aMilling-machines
_xVibration
999 _aVIRTUA40
_c3981
_d3987
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992