Co-simulation of Fuzzy Logic Control for a DC–DC Buck Converter in Cascade System

2020 ◽  
pp. 561-569
Author(s):  
Mohammed Kh. Al-Nussairi ◽  
Ramazan Bayindir
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Buck Converter ◽  
Cascade System ◽  
Logic Control

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

Prototype of buck converter using fuzzy logic control for LED driver

2018 ◽  
Author(s):  
Onny Setyawati ◽  
Hadi Suyono ◽  
Helmy Mukti Himawan ◽  
Nanang Sulistiyanto ◽  
Mochammad Rif'an
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Buck Converter ◽  
Led Driver ◽  
Logic Control

scholarly journals FUZZY LOGIC CONTROL FOR A DC TO DC BUCK CONVERTER

2016 ◽  
Vol 18 (1) ◽  
pp. 233-238 ◽  
Author(s):  
Jenica-Ileana CORCAU ◽  
◽  
Liviu DINCA ◽  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Buck Converter ◽  
Logic Control

Fuzzy Logic Control of Photovoltaic Lead-Acid Charging System

2011 ◽  
Vol 219-220 ◽  
pp. 941-944 ◽  
Author(s):  
Kao Feng Yarn ◽  
King Kung Wu ◽  
Long Yeu Chung
Keyword(s):  
Fuzzy Logic ◽  
Solar Cell ◽  
Digital Signal Processor ◽  
Fuzzy Logic Control ◽  
Control Method ◽  
Low Voltage ◽  
Buck Converter ◽  
Charging System ◽  
Logic Control ◽  
Lead Acid

A new photovoltaic solar cell charging system with fuzzy logic control is proposed and designed. This kind of solar energy storage system is composed of a solar cell, a charger, batteries, a buck converter and a digital signal processor. It mainly applies a low-voltage level translator to control the pulse charging current of a lead-acid battery and also combines the fuzzy control method to improve the charging efficiency, suppress the abnormal temperature rise in the battery, lengthen the battery life-time, reduce the additional waste, etc..Experimental and simulated results are shown to demonstrate and compare the validity of the system and verify the effectiveness with each other.

Type-2 fuzzy logic control of a DC/DC buck converter

2012 ◽  
Vol 45 (21) ◽  
pp. 103-108 ◽  
Author(s):  
J. Solano Martinez ◽  
D. Hissel ◽  
M-C. Péra
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Buck Converter ◽  
Logic Control

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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