02788nam a2200241 a 4500 vtls000040383 KUKTEM 20251114204441.0 090715t2009 my po f m 000 0 eng d THE0006985(Local) 201906131402 aida 201111231017 Fida 201107132244 VLOAD 200908141648 VLOAD 200907151239 kam UMP TK7872.P76 N56 2009 rs Bc. Nina Naisha Suhaimi Implementation of fuzzy logic controller on revolute control universal stretch & bending machine (USBM) / Nina Naisha Binti Suhaimi Kuantan, Pahang : UMP, 2009 108 p. : ill. (some col.) ; 30 cm. + 1 computer disc Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2009 Motor speed control is very important in rotating machinery applications. There are many applications that have been developed based on motor speed control theory such as to run the machines at most factory automation industry as well known the machines are easiest to damage without controller. The speed control of motor is very difficult to be implemented by using conventional control techniques, as it requires a very complex mathematical model. The purpose of this project is to describe the research of fuzzy logic controller (FLC) design based on programmable logic controller (PLC) in order to control the speed of the motor. The model of the PLC that has been used in this project is OMRON CJIG-CPU42P where this PLC has a build in loop control that can be made the ladder diagram quite simple using function block in Cx-process tools. In this project, the system without controller shows that is an open loop control. Therefore, when break is applied there is no feedback for the system to increase the voltage in order for the motor to maintain the desired speed output. Compare by using the controller FLC, when the breaking is applied there is a feedback for the system to increase the voltage to get the desired output that the user need. From this hardware implementation there are five rules that have been used which is five membership functions with trapezoid and triangular shape. Analysis will be done and it shows that the triangular shape is much better compare to the trapezoid shape and without controller in the system. Before the controller will be implementing in the PLC, the simulations were done using MATLAB fuzzy logic toolbox and SIMULINK. The objective of the simulation is to predict the system response of the motor in with or without controller. Fuzzy logic Programmable logic controllers 0 0 0 1 20000 20000 2019-09-04 0 CD 3305 | TK7872.P76 N56 2009 rs Bc. 0000037861 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 TK7872.P76 N56 2009 rs Bc. 0000037860 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 2262 2268 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5200*6500*6501*9992