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 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%.

Implementation of a Fuzzy Logic Control Strategy on a Harvester’s Controller Based on MATLAB Environment

2019 ◽  
Vol 33 (13) ◽  
pp. 1959043
Author(s):  
Wei Li ◽  
Jingqian Wen ◽  
Qing Jiang ◽  
Liangtu Song ◽  
Zhengyong Zhang
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Expert Knowledge ◽  
Nonlinear Process ◽  
C Language ◽  
Logic Control ◽  
Cleaning System ◽  
Complete Set ◽  
Classical Control ◽  
Upper Computer

Due to the nonlinear process of grain harvesting, there is no precise mathematical model to describe the behavior of the cleaning system of a harvester. Both the classical control and modern control methods cannot fulfil the requirements. Owing to this, the intelligent control algorithm was proposed, and the fuzzy logic control (FLC) method is a type of this. At present, most FLC algorithms are proposed in a MATLAB environment. However, the control problems in reality are controlled by microcomputer controllers with different chips. The control language of the microcomputer controller is usually written in C language. It is impossible to directly migrate the algorithm between these two different languages. Therefore, it is an important issue to transplant the FLC algorithm procedure written by MATLAB to the microcomputer controller. To realize the above target, we have built a complete set of control systems for our harvester’s cleaning system based on an upper computer and an STM32 core-chip controller. By means of combining FLC theory and expert knowledge, we adopted an improved FLC algorithm for the cleaning system, which is mounted in our self-designed combine harvester. Through this scheme, we have realized the objective of migrating the FLC algorithm from a MATLAB environment to the controller. The results of the experiment show that our method is reliable.

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.

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%.

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

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.

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