Dean Date (4)ABSTRACT IMPLEMENTATION FUZZY LOGIC CONTROL TECHNIQUE IN POWER SUPPLY USING SOLAR CHARGING SYSTEM By Prihangkasa Yudhiyantoro Dedy Loebis ST, MBA, M.Sc., Ph.D, Advisor Dr

(1)

IMPLEMENTATION FUZZY LOGIC CONTROL TECHNIQUE IN POWER SUPPLY USING SOLAR CHARGING SYSTEM

By

PRIHANGKASA YUDHIYANTORO 2 – 2014 – 1210

MASTER’S DEGREE in

MECHANICAL ENGINEERING – MECHATRONICS CONCENTRATION ENGINEERING AND INFORMATION TECHNOLOGY

SWISS GERMAN UNIVERSITY EduTown BSD City

Tangerang 15339 Indonesia

March 2016

(2)

By

PRIHANGKASA YUDHIYANTORO 2 – 2014 – 1210

MASTER’S DEGREE in

MECHANICAL ENGINEERING – MECHATRONICS CONCENTRATION ENGINEERING AND INFORMATION TECHNOLOGY

SWISS GERMAN UNIVERSITY EduTown BSD City

Tangerang 15339 Indonesia

March 2016

(3)

IMPLEMENTATION FUZZY LOGIC CONTROL TECHNIQUE Page 2 of 74

IN POWER SUPPLY USING SOLAR CHARGING SYSTEM

Prihangkasa Yudhiyantoro 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.

Prihangkasa Yudhiyantoro

_____________________________________________

Student Date

Approved by:

Dedy Loebis ST, MBA, M.Sc., Ph.D

_____________________________________________

Thesis Advisor Date

Dr. Ir. Gembong Baskoro M.Sc.

_____________________________________________

Thesis Co-Advisor Date

Dr. Ir. Gembong Baskoro M.Sc.

_____________________________________________

Dean Date

(4)

ABSTRACT

By

Dedy Loebis ST, MBA, M.Sc., Ph.D, Advisor Dr. Ir. Gembong Baskoro, M.Sc., Co-Advisor Dena Hendriana, B.Sc., S.M., Sc.D., Co-Advisor

SWISS GERMAN UNIVERSITY

This paper presents the implementation fuzzy logic control in the battery charging system. To control the charging process is a complex system due to the exponential relationship between the charging voltage, charging current and the charging time.

The effective of charging process controller is needed to maintain the charging process. Because if the charging process cannot under control, it can reduce the cycle life of the battery and it can damage the battery as well. The main idea is that, in order to get charging control effectively, the fuzzy logic control for a Valve Regulated Lead-Acid Battery (VRLA) Charger is being embedded in the charging system unit.

The paper started from the hardware development where the solar charging method and the combination of the battery charging system itself to prepare, then the study of the fuzzy logic controller in the relation of the charging control, and the determination of the parameter for the charging unit will be carefully investigated. One of the advantages of using Fuzzy Logic beside the PID controller is the fact that, we don’t need a mathematical model and several parameters of coefficient charge and discharge to software implementation in this complex system.

Through the experimental result and from the expert knowledge, that is very helpful for tuning of the membership function and the rule base of the fuzzy controller.

(5)

(6)

DEDICATION

To Aaron

(7)

Prihangkasa Yudhiyantoro ACKNOWLEDGMENT

It gives me great pleasure in expressing my gratitude to all those people who have supported me and had their contributions in making this thesis possible. First and foremost, I acknowledge and thank The Almighty God for blessing, protecting and guiding me throughout this period.

I would like to thank my advisors, Bapak Dedy Loebis ST, MBA, M.Sc., Ph.D, Bapak Dr. Ir. Gembong Baskoro, M.Sc. and Bapak Dena Hendriana, B.Sc., S.M., Sc.D., for the guidance, encouragement and advice they have provided throughout my time as their student. I have been extremely lucky to have supervisors who cared so much about my work, and who responded to my questions and queries so promptly.

My gratitude to Elisabeth Maria Siburian, a caring wife for her continued support and encouragement and our sweet little son, Vincentius Aaron Prihangkasa for letting me to go back to school again and use one and a half year of our weekend together to be in campus again. Both of you are my strength to finish this thesis.

Also for the patience of my parents, sisters and brother who experienced all of the ups and downs of my research.

Completing this work would have been more difficult without the support and friendship provided by the other members of the MME SGU – class of MME Batch-2, ATMI Cikarang and all the staff at MME SGU – BSD Serpong Campus thank you on their continuing support.

Jakarta, February 6, 2016 Prihangkasa Yudhiyantoro

(8)

TABLE OF CONTENTS

Page

STATEMENT BY THE AUTHOR ... 2

ABSTRACT ... 3

DEDICATION ... 5

ACKNOWLEDGMENT ... 6

TABLE OF CONTENTS ... 7

LIST OF FIGURES ... 10

LIST OF TABLES ... 12

CHAPTER 1 - INTRODUCTION ... 13

1.1 Research Background ... 13

1.2 Problem Statement ... 13

1.3 Research Objectives ... 14

1.4 Research Questions ... 14

1.5 Hypothesis ... 15

1.6 Significance of Study ... 17

CHAPTER 2 - LITERATURE REVIEW ... 18

2.1 Theoretical Perspectives ... 18

2.1.1 Battery ... 18

2.1.2 Valve Regulated Lead Acid (VRLA) Battery ... 19

2.1.3 Charging Method of Valve Regulated Lead Acid (VRLA) Battery. 20 2.1.4 Battery Charge Controller ... 23

2.1.5 Fundamental of Fuzzy Logic Controller ... 25

2.2 Previous Studies ... 29

(9)

2.2.1 Case study I: Fuzzy Module by Read the Real Time and Current ... 29

2.2.2 Case study II: Fuzzy Control of a Lead Acid Battery Charger ... 32

2.3 Comparison of Case Study ... 36

CHAPTER 3 – RESEARCH METHODS ... 37

3.1 Hardware System Analysis and Design ... 37

3.1.1 Solar Charging Method ... 37

3.1.2 Battery Charger Method ... 38

3.1.3 Materials and Equipments... 40

3.2 Calibration ... 43

3.3 Software Development ... 46

3.3.1 Arduino C Programming ... 46

3.3.2 Fuzzy Logic Programming ... 48

3.4 Analytical Method... 50

3.4.1 Non Fuzzy Logic Implementation ... 50

3.4.2 Fuzzy Logic Implementation ... 51

CHAPTER 4 – RESULTS AND DISCUSSIONS ... 54

4.1 Initial Evaluation ... 54

4.2 Data Analysis ... 57

4.2.1 Model of Battery Charging Control ... 57

4.2.2 Charging PWM Signal Controlled by Fuzzy Logic ... 58

CHAPTER 5 – CONCLUSIONS AND RECCOMENDATIONS ... 59

5.1 Conclusions ... 59

5.2 Recommendations ... 60

GLOSSARY ... 61

REFERENCES ... 66

CURRICULUM VITAE ... 68

(10)

APPENDIX A: DATA CHARGING ... 70

APPENDIX B: FUZZY INFERENCE SYSTEM ... 71

APPENDIX C: BATTERY CHARGING ALGORITHM ... 72

APPENDIX D: BATTERY CHARGING CIRCUIT ... 73

APPENDIX E: COMPONENT DATA SHEET ... 74