TRIM POSITION FOR EDGE TRIM SHOWER SYSTEM
By
YUDI WIBAWA 2-2015-1101
MASTER’S DEGREE in
MECHANICAL ENGINEERING – MECHATRONICS CONCENTRATION FACULTY OF ENGINEERING AND INFORMATION TECHNOLOGY
SWISS GERMAN UNIVERSITY EduTown BSD City
Tangerang 15339 Indonesia
August 2016
Revision after the Thesis Defense on 28 July 2016
Yudi Wibawa STATEMENT BY THE AUTHOR
I hereby declare that this submission is my own work and to the best of my knowledge, it contains no material previously published or written by another person, nor material which to a substantial extent has been accepted for the award of any other degree or diploma at any educational institution, except where due acknowledgement is made in the thesis.
Yudi Wibawa
_____________________________________________
Student Date
Approved by:
Dr. Edi Sofyan
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Thesis Advisor Date
Dena Hendriana, BSc., S.M., Sc.D
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Thesis Co-Advisor Date
Dr. Ir. Gembong Baskoro, M.Sc.
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Dean Date
Yudi Wibawa ABSTRACT
APPLICATION OF FUZZY LOGIC CONTROL FOR ACCURATE SHEET TRIM POSITION FOR EDGE TRIM SHOWER SYSTEM
By Yudi Wibawa Dr, Edi Sofyan, Advisor
Dena Hendriana, BSc., S.M., Sc.D, Co-Advisor
SWISS GERMAN UNIVERISTY
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.
Keywords: ANFIS, PID, Stepper Motor, Overshoot, Rising Time, Accuracy Error
Yudi Wibawa
© Copyright 2016 by Yudi Wibawa All rights reserved
Yudi Wibawa DEDICATION
I dedicate this works for my beloved family: my wife Sulisyarini and three my daughters Arum, Nabilla and Alisya.
Yudi Wibawa ACKNOWLEDGEMENTS
First I am grateful to Allah SWT so that I can finish this Thesis.
I wish to thank the members of my committee for their support and patience. Their gentle but firm direction has been most appreciated. Dr. Edi Sofyan as Thesis Advisor and Dena Hendriana, BSc., S.M., Sc.D as Thesis Co-Advisor was particularly helpful in guiding me toward a qualitative methodology.
Finally, I would like to thank Dr. Ir. Gembong Baskoro, M.Sc. as Dean. From the beginning, he had confidence in my abilities to not only complete a degree but to complete it with excellence.
I have found my coursework throughout the Curriculum and Instruction program to be stimulating and thoughtful, providing me with the tools with which to explore both past and present ideas and issues.
Yudi Wibawa TABLE OF CONTENTS
Page
STATEMENT BY THE AUTHOR ... 2
ABSTRACT ... 3
DEDICATION ... 5
ACKNOWLEDGEMENTS ... 6
TABLE OF CONTENTS ... 7
LIST OF FIGURES ... 9
LIST OF TABLES ... 11
CHAPTER 1 - INTRODUCTION ... 12
1.1 Background ... 12
1.2 Objectives ... 14
1.3 Hypothesis ... 14
1.4 Research Limitations ... 14
CHAPTER 2 – LITERATURE REVIEW ... 16
2.1 Closed-loop Control System ... 16
2.2 Mechanical System ... 17
2.3 Stepper Motor ... 18
2.4 Laser distance ... 19
2.5 Arduino ... 19
2.6 PID Controller ... 20
2.6.1 Proportional Controller ... 21
2.6.2 Integral Controller ... 22
2.6.3 Derivative Controller ... 22
2.7 FLC Controller ... 24
2.7.1 ANFIS Method Controller ... 25
CHAPTER 3 – RESEARCH METHODS ... 28
3.1 Materials and Equipment ... 28
3.2 Analytical Method ... 29
3.2.1 Application process of MATLAB ANFIS Controller... 29
3.2.2 Simulation model of MATLAB Simulink ... 37
Yudi Wibawa
CHAPTER 4 – RESULT AND DISCUSSION ... 41
4.1 Initial Evaluation ... 41
4.2 Data Analysis ... 43
CHAPTER 5 – CONCLUSION AND RECCOMENDATION ... 44
5.1 Conclusion ... 44
5.2 Recommendation ... 44
GLOSSARY ... 45
REFERENCES ... 46
CURRICULUM VITAE ... 48
APPENDICES ... 49