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Implementation of Artificial Neural Network Controller for Double-Input Boost Converter

This paper describes the design of an artificial neural network (ANN) control with power sharing control abilities of a new proposed double-input boost power converter (DIBC). The goal of this research is to model and design a high effectiveness and great performance double-input power converter for...

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Main Authors: Buswig, Yonis.M.Yonis, Al-Khalid, bin Hj Othman, Norhuzaimin, bin Julai, Sim, Sy Yi, Utomo, W.M, A. J. M., S. Lim
Format: E-Article
Language:English
Published: Institute of Advanced Engineering and Science 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/20642/1/Implementation%20of%20Artificial%20Neural%20Network%20Controller%20for%20Double-Input%20Boost%20Converter%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/20642/
http://iaescore.com/journals/index.php/IJEECS/article/view/12958
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id my.unimas.ir.20642
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spelling my.unimas.ir.206422019-06-20T07:36:35Z http://ir.unimas.my/id/eprint/20642/ Implementation of Artificial Neural Network Controller for Double-Input Boost Converter Buswig, Yonis.M.Yonis Al-Khalid, bin Hj Othman Norhuzaimin, bin Julai Sim, Sy Yi Utomo, W.M A. J. M., S. Lim TK Electrical engineering. Electronics Nuclear engineering This paper describes the design of an artificial neural network (ANN) control with power sharing control abilities of a new proposed double-input boost power converter (DIBC). The goal of this research is to model and design a high effectiveness and great performance double-input power converter for renewable energy applications. First, an artificial neural network controller design which is flexible versus a variable input voltage resource and variable load (to achieve the line regulation test and load regulation test) is proposed. Lastly, the suggested concept has been validated through experimentally on the laboratory prototype by using DSP TMS320F28335 real-time digital control. The experimental outcomes emphasize the authenticity of the suggested topology, which can be promising a novel topology that includes double-input power converter appropriate for renewable energy application systems. Institute of Advanced Engineering and Science 2018-08 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/20642/1/Implementation%20of%20Artificial%20Neural%20Network%20Controller%20for%20Double-Input%20Boost%20Converter%20%28abstract%29.pdf Buswig, Yonis.M.Yonis and Al-Khalid, bin Hj Othman and Norhuzaimin, bin Julai and Sim, Sy Yi and Utomo, W.M and A. J. M., S. Lim (2018) Implementation of Artificial Neural Network Controller for Double-Input Boost Converter. Indonesian Journal of Electrical Engineering and Computer Science, 11 (2). pp. 784-790. ISSN 2502-4752 http://iaescore.com/journals/index.php/IJEECS/article/view/12958 DOI: 10.11591/ijeecs.v11.i2.pp784-790
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Buswig, Yonis.M.Yonis
Al-Khalid, bin Hj Othman
Norhuzaimin, bin Julai
Sim, Sy Yi
Utomo, W.M
A. J. M., S. Lim
Implementation of Artificial Neural Network Controller for Double-Input Boost Converter
description This paper describes the design of an artificial neural network (ANN) control with power sharing control abilities of a new proposed double-input boost power converter (DIBC). The goal of this research is to model and design a high effectiveness and great performance double-input power converter for renewable energy applications. First, an artificial neural network controller design which is flexible versus a variable input voltage resource and variable load (to achieve the line regulation test and load regulation test) is proposed. Lastly, the suggested concept has been validated through experimentally on the laboratory prototype by using DSP TMS320F28335 real-time digital control. The experimental outcomes emphasize the authenticity of the suggested topology, which can be promising a novel topology that includes double-input power converter appropriate for renewable energy application systems.
format E-Article
author Buswig, Yonis.M.Yonis
Al-Khalid, bin Hj Othman
Norhuzaimin, bin Julai
Sim, Sy Yi
Utomo, W.M
A. J. M., S. Lim
author_facet Buswig, Yonis.M.Yonis
Al-Khalid, bin Hj Othman
Norhuzaimin, bin Julai
Sim, Sy Yi
Utomo, W.M
A. J. M., S. Lim
author_sort Buswig, Yonis.M.Yonis
title Implementation of Artificial Neural Network Controller for Double-Input Boost Converter
title_short Implementation of Artificial Neural Network Controller for Double-Input Boost Converter
title_full Implementation of Artificial Neural Network Controller for Double-Input Boost Converter
title_fullStr Implementation of Artificial Neural Network Controller for Double-Input Boost Converter
title_full_unstemmed Implementation of Artificial Neural Network Controller for Double-Input Boost Converter
title_sort implementation of artificial neural network controller for double-input boost converter
publisher Institute of Advanced Engineering and Science
publishDate 2018
url http://ir.unimas.my/id/eprint/20642/1/Implementation%20of%20Artificial%20Neural%20Network%20Controller%20for%20Double-Input%20Boost%20Converter%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/20642/
http://iaescore.com/journals/index.php/IJEECS/article/view/12958
_version_ 1644513322976935936
score 13.211869

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