Modified Elman Neural-PID Controller Design for DC-DC Buck Converter System Based on Dolphin Echolocation Optimization

This paper describes a new proposed structure of the Proportional Integral Derivative (PID) controller based on modified Elman neural network for the DC-DC buck converter system which is used in battery operation of the portable devices. The Dolphin Echolocation Optimization (DEO) algorithm is cons...

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Autor principal:	Khulood E. Dagher
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2018
Materias:	Buck Converter, Dolphin Echolocation, Modified Elman Neural PID Controller, On-Line-Tuning Optimization. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/5da928122a98461da50af831e27e410e
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spelling	oai:doaj.org-article:5da928122a98461da50af831e27e410e2021-12-02T07:32:59ZModified Elman Neural-PID Controller Design for DC-DC Buck Converter System Based on Dolphin Echolocation Optimization10.22153/kej.2018.01.0091818-11712312-0789https://doaj.org/article/5da928122a98461da50af831e27e410e2018-09-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/97https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 This paper describes a new proposed structure of the Proportional Integral Derivative (PID) controller based on modified Elman neural network for the DC-DC buck converter system which is used in battery operation of the portable devices. The Dolphin Echolocation Optimization (DEO) algorithm is considered as a perfect on-line tuning technique therefore, it was used for tuning and obtaining the parameters of the modified Elman neural-PID controller to avoid the local minimum problem during learning the proposed controller. Simulation results show that the best weight parameters of the proposed controller, which are taken from the DEO, lead to find the best action and unsaturated state that will stabilize the Buck converter system performance and achieve the desired output. In addition, there is a minimization for the tracking voltage error to zero value of the Buck converter output, especially when changing a load resistance by 10%. Khulood E. DagherAl-Khwarizmi College of Engineering – University of BaghdadarticleBuck Converter, Dolphin Echolocation, Modified Elman Neural PID Controller, On-Line-Tuning Optimization.Chemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 14, Iss 3 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Buck Converter, Dolphin Echolocation, Modified Elman Neural PID Controller, On-Line-Tuning Optimization. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Buck Converter, Dolphin Echolocation, Modified Elman Neural PID Controller, On-Line-Tuning Optimization. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Khulood E. Dagher Modified Elman Neural-PID Controller Design for DC-DC Buck Converter System Based on Dolphin Echolocation Optimization
description	This paper describes a new proposed structure of the Proportional Integral Derivative (PID) controller based on modified Elman neural network for the DC-DC buck converter system which is used in battery operation of the portable devices. The Dolphin Echolocation Optimization (DEO) algorithm is considered as a perfect on-line tuning technique therefore, it was used for tuning and obtaining the parameters of the modified Elman neural-PID controller to avoid the local minimum problem during learning the proposed controller. Simulation results show that the best weight parameters of the proposed controller, which are taken from the DEO, lead to find the best action and unsaturated state that will stabilize the Buck converter system performance and achieve the desired output. In addition, there is a minimization for the tracking voltage error to zero value of the Buck converter output, especially when changing a load resistance by 10%.
format	article
author	Khulood E. Dagher
author_facet	Khulood E. Dagher
author_sort	Khulood E. Dagher
title	Modified Elman Neural-PID Controller Design for DC-DC Buck Converter System Based on Dolphin Echolocation Optimization
title_short	Modified Elman Neural-PID Controller Design for DC-DC Buck Converter System Based on Dolphin Echolocation Optimization
title_full	Modified Elman Neural-PID Controller Design for DC-DC Buck Converter System Based on Dolphin Echolocation Optimization
title_fullStr	Modified Elman Neural-PID Controller Design for DC-DC Buck Converter System Based on Dolphin Echolocation Optimization
title_full_unstemmed	Modified Elman Neural-PID Controller Design for DC-DC Buck Converter System Based on Dolphin Echolocation Optimization
title_sort	modified elman neural-pid controller design for dc-dc buck converter system based on dolphin echolocation optimization
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2018
url	https://doaj.org/article/5da928122a98461da50af831e27e410e
work_keys_str_mv	AT khuloodedagher modifiedelmanneuralpidcontrollerdesignfordcdcbuckconvertersystembasedondolphinecholocationoptimization
_version_	1718399337684271104

Modified Elman Neural-PID Controller Design for DC-DC Buck Converter System Based on Dolphin Echolocation Optimization

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