scholarly journals IMPLEMENTASI PENGONTROLAN TEGANGAN KELUARAN DC STEP UP QUADRATIC BOOST CONVERTER DENGAN VARIASI TEGANGAN INPUT DARI SINGLE PV MENGGUNAKAN LOGIKA FUZZY

Foristek ◽  
2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Irwan Mahmudi ◽  
Jumiyatun Jumiyatun ◽  
Kadri Kadri
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Output Voltage ◽  
Boost Converter ◽  
Solar Panel ◽  
Solar Panels ◽  
Logic Control ◽  
Fuzzy Logic Method ◽  
Output Side ◽  
Constant Output

Resulting output voltage is not constant due to light intensity and surface temperature of the solar panels. To overcome the output voltage of solar panels that tends to fluctuate, is to add a DC-DC converter to the output side of the DC-DC Converter used in this study is the Quadratic Boost Converter type which has a role to increase the output voltage of the monocrystalline type solar panel so that it remains constant at 24V DC. using Mamdani Fuzzy Logic Control as a method of controlling PWM switching. The results obtained from this study are that the quadratic boost converter can keep the output voltage of the solar panel constant at 24V, with low ripple voltage and overshoot. The Mamdani fuzzy logic method used can produce a constant output voltage value with a rise time of ± 5 seconds. The efficiency obtained from this converter hardware is quite good, ranging from 76% - 88%.

IMPLEMENTASI PENGONTROLAN TEGANGAN KELUARAN DC STEP-UP ZETA CONVERTER DENGAN VARIASI TEGANGAN INPUT DARI SINGLE PV MENGGUNAKAN LOGIKA FUZZY

Foristek ◽  
2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Irwan Mahmudi ◽  
Jumiyatun Jumiyatun ◽  
M. Reza P.
Keyword(s):  
Fuzzy Logic ◽  
Light Intensity ◽  
Fuzzy Logic Control ◽  
Output Voltage ◽  
Electrical Energy ◽  
Solar Panels ◽  
Logic Control ◽  
A Value ◽  
Fuzzy Logic Method ◽  
Constant Output

The solar panel is a device that functions as a producer of electrical energy by converting solar energy into electrical energy but have several disadvantages, one of which is the non-constant output voltage due to the influence of light intensity and surface temperature of the panel. In this research, Zeta  Converter will be designed and implemented as a tool that plays a role in maintaining the output voltage of solar panels to remain constant at 24V DC, with Fuzzy Logic Control as a method in controlling PWM switching. The results obtained from this study are that zeta converter can keep the output voltage of solar panels constant at a value of 24V, with a low ripple voltage and overshoot. The fuzzy logic method used can produce a constant output voltage with a rise time around 5 seconds. The efficiency obtained from this converter hardware is around 70% - 73%.

scholarly journals MATHEMATICAL ALGORITHM OF FUZZY LOGIC CONTROLLER FOR MULTILEVEL INVERTER CREATING VERTICAL DIVIDED VOLTAGE

2019 ◽  
Vol 59 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Erol Can
Keyword(s):  
Mathematical Model ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Pid Controller ◽  
Output Voltage ◽  
Fuzzy Logic Controller ◽  
Boost Converter ◽  
Multilevel Inverter ◽  
Logic Control ◽  
Multi Level

A 9-level inverter with a boost converter has been controlled with a fuzzy logic controller and a PID controller for regulating output voltage applications on resistive (R) and inductive (L), capacitance (C). The mathematical model of this system is created according to the fuzzy logic controlling new high multilevel inverter with a boost converter. The DC-DC boost converter and the multi-level inverter are designed and explained, when creating a mathematical model after a linear pulse width modulation (LPWM), it is preferred to operate the boost multi-level inverter. The fuzzy logic control and the PID control are used to manage the LPWM that allows the switches to operate. The fuzzy logic algorithm is presented by giving necessary mathematical equations that have second-degree differential equations for the fuzzy logic controller. After that, the fuzzy logic controller is set up in the 9-level inverter. The proposed model runs on different membership positions of the triangles at the fuzzy logic controller after testing the PID controller. After the output voltage of the converter, the output voltage of the inverter and the output current of the inverter are observed at the MATLAB SIMULINK, the obtained results are analysed and compared. The results show the demanded performance of the inverter and approve the contribution of the fuzzy logic control on multi-level inverter circuits.

Development of Intelligent Solar Panel Cleaning System with Fuzzy Logic Theorem

2013 ◽  
Vol 479-480 ◽  
pp. 565-569
Author(s):  
Cong Hui Huang ◽  
Ming Rong Lee ◽  
Yih Feng Su ◽  
Chung Chi Huang ◽  
Yu Tang Su ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Solar Panel ◽  
Cleaning Process ◽  
Solar Panels ◽  
Logic Control ◽  
Cleaning System ◽  
Lab View ◽  
Stepper Motors ◽  
Generating Capacity

In this paper, an intelligent solar panel cleaning system that monitors the output of solar panels is designed. The output voltage of the solar panel is used to decide if the solar panel needs to clean or not. The control system is developed using Lab-VIEW. The direction and position of the system is set by the light sensor, which is parallel to the direction of sunlight. The data from the light sensors, along with the fuzzy logic control software developed using Lab-View determines the control commands for the stepper motors controlling the cleaning process. The commands are stop, forward or reverse and the cleaning process is repeated until the generated power output of the solar panels is sufficient. The cleaning process is performed in real-time to maintain the power generating capacity of the solar cells.

scholarly journals Protoype Burner Control of Gas Fuel Oven Machine using Fuzzy Logic Control and Wireless Data Monitoring

2021 ◽  
Vol 5 (1) ◽  
pp. 1-21
Author(s):  
Imam Wahyu Putra Perkasa ◽  
Fachrudin Hunaini ◽  
Sabar Setiawidayat
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Control ◽  
Temperature Stability ◽  
Wireless Data ◽  
Accuracy Rate ◽  
Logic Control ◽  
Roasting Process ◽  
Fuzzy Logic Method ◽  
Gas Fuel

In the food processing industry that requires a roasting process using an oven machine, the temperature stability produced by the oven machine greatly affects the output produced. Oven machines that are often used are electric and gas oven machines, the burner control system maximizes the use of gas to fuel the oven engine. This system utilizes input from the DS18B20 temperature sensor which is used to read the temperature in the oven engine. The temperature control of the gas-fired burner control system is carried out by a microcontroller using a fuzzy logic method to control the gas valve in the form of a servo motor to open and close the gas valve automatically. For monitoring and controlling the work of the burner control using Internet of things (IoT) technology by utilizing the NodeMCU ESP8266 microcontroller as a processor and sending data wirelessly to an android smartphone via the BLYNK application which can make it easier for users to get information about actual temperature, setting temperature and timer. By using the fuzzy Sugeno, this system can regulate the gas servo valve with an accuracy rate of 99.93%.

scholarly journals IMPLEMENTASI FUZZY LOGIC CONTROL PADA TRACKING (PELACAKAN) SOLAR PANEL MENGGUNAKAN ARDUINO ATMEGA328

2019 ◽  
Vol 9 (1) ◽  
pp. 25
Author(s):  
Angga Juliat Saputra ◽  
Bayu Erfianto ◽  
Mas'ud Adhi Saputra ◽  
SIDIK Prabowo ◽  
Novian Anggis Swastika
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Solar Panel ◽  
Logic Control

Pemanfaatan energi listrik di dunia ini sangatlah penting untuk kehidupan manusia. Banyak teknologi yang bermunculan dan hal tersebut disisi lain akan membutuhkan sumber energi listrik yang semakin besar pula. Energi matahari merupakan alternatif sumber energi yang dapat digunakan untuk kemajuan teknologi saat ini. Meningkatnya kebutuhan akan energi listrik membuat persediaan cadangan energi konvensional menjadi semakin sedikit. Penerapan sistem Tracking pada Panel Surya terhadap matahari dapat mengurangi pemanfaatan energi listrik. Untuk mengoptimalkan system solar panel yang sudah ada saat ini, dirancang sebuah sistemsolar panel yang dilengkapi dengan kemampuan Tracking pada Panel Surya dengan bantuan Mikrokontroller Arduino ATMega328. Metode Fuzzy digunakan untuk melakukan Tracking pada sistem Panel Surya. Dengan menjadikan nilai tegangan dan arus sebagai input dalam metode Fuzzy. Motor Servo akan digunakan sebagai aktuator penggerak Panel Surya. dari penelitian diperoleh bahwa dengan rancangan yang dikembangkan dapat mengoptimalkan sistem Solar panel dengan menghasilkan Tegangan 19% lebih besar dan 16% arus yang lebih besar dibandingkan dengan solar panel yang sifatnya statis.

Sign in / Sign up

Export Citation Format

Share Document