Wibawa, Yudi and Sofyan, Edi and Hendriana, Dena (2016) Application of Fuzzy Logic Control for Accurate Sheet Trim Position for EDGE Trim Shower System. Masters thesis, Swiss German University.

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Abstract

The optimal positioning of the edge trim shower nozzle is a subject in its own right. In fact, good runnability of a paper machine depends to a significant extent on the problem free operation of the edge trims. The objective of the thesis work is to get an accurate position of edge trim shower by replacing manual system to automatic system by using application ANFIS controller. PID controller was used as a comparer for ANFIS controller. ANFIS and PID controller controlled two variables; the speed and direction of the stepper motor to set point position to move the linear system. Ultrasonic sensor used as feedback error for the set point position. Afterwards, we have analyzed both results to conclude which technique is better for precisely controlling the stepper motor. Outcomes from MATLAB Simulink of fuzzy logic toolbox for simulation of our schematic has been provided in this research work. From the simulation result of ANFIS and PID controller of the stepper motor it can be obtained the percentage overshoot, rising time of the output signal and an accuracy error. The comparative study in this research paper has shown that ANFIS controller is better than PID controller. ANFIS gives a less percentage overshoot of 1.6%, a rise time of 30.246 second and an accuracy error of 0.1778mm. PID gives a percentage overshoot of 2.9%, a rise time of 49.724 second and an accuracy error of 3.186mm.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	ANFIS; PID; Stepper Motor; Overshoot; Rising Time; Accuracy Error.
Subjects:	Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics
Divisions:	Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User:	Atroridho Rizky
Date Deposited:	13 Jul 2020 13:51
Last Modified:	13 Jul 2020 13:51
URI:	http://repository.sgu.ac.id/id/eprint/1132

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