scholarly journals Design and Implementation Buck Converter for 540WP Solar Charger Using Fuzzy Logic Control

2018 ◽  
Vol 43 ◽  
pp. 01009
Author(s):  
Sutedjo ◽  
Ony Asrarul Qudsi ◽  
Andi Ardianto ◽  
Diah Septi Yanaratri ◽  
Suhariningsih ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Duty Cycle ◽  
Fuzzy Logic Control ◽  
Buck Converter ◽  
Test Results ◽  
Constant Voltage ◽  
Battery Charging ◽  
Set Point ◽  
Design And Implementation ◽  
Logic Control

This paper presents the details of design and implementation of DC-DC Buck converter as solar charger. This converter is designed for charging a battery with a capacity of 100 Ah (Ampere Hours) which has a charging voltage of 27.4 volts. The constant voltage method is selected on battery charging with the specified set point. To ensure the charging voltage is always on the set point, the duty cycle control of buck converter is set using Fuzzy Logic Control (FLC). The design implementation has been tested on PV (photovoltaic) with 540WP capacity. Based on the test results, this method is quite well implemented on the problem charger

Implementation of Fuzzy Logic Control on Battery Charging System

2019 ◽  
Vol 3 (1) ◽  
pp. 118-126 ◽  
Author(s):  
Prihangkasa Yudhiyantoro
Keyword(s):  
Complex System ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Expert Knowledge ◽  
Experimental Result ◽  
Rule Base ◽  
Battery Charging ◽  
Charging System ◽  
Logic Control ◽  
Charging Control

This paper presents the implementation fuzzy logic control on 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. In order to get charging control effectively, the Fuzzy Logic Control (FLC) for a Valve Regulated Lead-Acid Battery (VRLA) Charger is being embedded in the charging system unit. One of the advantages of using FLC 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. The research is started by the hardware development where the 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. Through the experimental result and from the expert knowledge, that is very helpful for tuning of the  embership function and the rule base of the fuzzy controller.

scholarly journals Kendali Logika Fuzzy pada Sistem Electronic Control Unit (ECU) Air Conditioner Mobil

2019 ◽  
Vol 6 (1) ◽  
pp. 25
Author(s):  
Fahmizal Fahmizal ◽  
Tommy Richard Orlando ◽  
Budi Bayu Murti ◽  
Maun Budiyanto ◽  
Afrizal Mayub
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Electronic Control Unit ◽  
Control Unit ◽  
Electronic Control ◽  
Air Conditioner ◽  
Test Results ◽  
Rotating Speed ◽  
Logic Control ◽  
Fuzzy Input

<p>Makalah ini memaparkan perancangan kendali logika <em>fuzzy</em> pada sistem <em>electronic control unit </em>(ECU)<em> </em><em>air condition</em><em>er </em>mobil. Salah satu kendala pada ECU mobil adalah kerusakan pada sistem <em>air conditio</em><em>ner</em>. Bila ini terjadi umumnya pengguna mobil mengganti sistem ECU secara keseluruhan. Namun pada makalah ini, penulis meracang sistem ECU yang secara khusus digunakan untuk sistem <em>air conditioner</em> mobil. Sistem yang dirancang menggunakan sensor DS18B20 <em>waterproof</em> untuk mendeteksi suhu <em>evaporator</em> mobil. Selanjutnya, nilai suhu tersebut digunakan sebagai masukan logika <em>fuzzy</em> yang terdiri dari pembacaan suhu sekarang dan suhu terakhir dalam mengatur kecepatan putar kipas motor DC atau <em>fan exhausting</em> dan waktu <em>switching</em> <em>magnetic</em> <em>clutch compressor</em> menyala. Hubungan relasi masukan <em>fuzzy</em> diselesaikan dengan aturan Mamdani dan keluaran dari logika <em>fuzzy</em> diselesaikan dengan metode <em>weight average</em> (WA). Dari hasil pengujian diperoleh bahwa kendali logika <em>fuzzy</em> yang diaplikasikan pada rancangan sistem <em>air conditio</em><em>ner</em> mampu mengendalikan kecepatan <em>fan exhausting</em> secara halus dan responsif.</p><p><em><strong>Abstract</strong></em></p><p><em>This paper describes the design of fuzzy logic controls in the system of electronic control unit (ECU) of car air conditioner. One obstacle in the car ECU is damage to the air conditioner system. If this happens generally car users change the whole ECU system. But in this paper, the authors form the ECU system which is specifically used for car air conditioner systems. The system is designed using a DS18B20 waterproof sensor to detect the temperature of the car's evaporator. Furthermore, the temperature value is used as a fuzzy logic input consisting of reading the current temperature and the last temperature in adjusting the rotating speed of the DC motor fan or exhausting fan and when the switching magnetic clutch compressor is on. Completion of fuzzy input relations is solved using Mamdani rules and the output of fuzzy logic is solved using the weight average (WA) method. From the test results it was found that the fuzzy logic control applied to the design of the air conditioner system was able to control the speed of the exhausting fan in a smooth and responsive manner.</em></p><p><strong><br /></strong></p><p> </p>

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