Automatic PCB Layout Optimization of a DC-DC Converter Through Genetic Algorithm Regarding EMC Constraints

This paper proposes an optimization approach for an automatic buck converter printed circuit board (PCB) design regarding the electromagnetic compatibility (EMC) constraints. The proposed solution is based on the combination of a genetic algorithm (GA) and a Dijkstra algorithm to generate the differ...

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Autores principales: Wided Belloumi, Arnaud Breard, Omssad Hajji, Christian Vollaire, Jaleleddine Ben Hadj Slama
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/94b84baf80fa4d299e93d2794b19b63c
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spelling oai:doaj.org-article:94b84baf80fa4d299e93d2794b19b63c2021-11-18T00:01:15ZAutomatic PCB Layout Optimization of a DC-DC Converter Through Genetic Algorithm Regarding EMC Constraints2169-353610.1109/ACCESS.2021.3124935https://doaj.org/article/94b84baf80fa4d299e93d2794b19b63c2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9599671/https://doaj.org/toc/2169-3536This paper proposes an optimization approach for an automatic buck converter printed circuit board (PCB) design regarding the electromagnetic compatibility (EMC) constraints. The proposed solution is based on the combination of a genetic algorithm (GA) and a Dijkstra algorithm to generate the different PCB layout designs. Afterwards, a numerical modeling approach, taking into account all the stray elements, is proposed to obtain an accurate equivalent circuit for the PCB layout using ANSYS Q3D software. Subsequently, the complete behavior of the converter is simulated within SIMPLORER, including the electrical models of the components, the Line Impedance Stabilization Network (LISN) module as well as the PCB layout model. This aims to compute the conducted disturbances such as the common and the differential mode voltages. Then, this approach is implemented in an optimized process to reach the optimal geometry for the printed circuit board layout with the lowest parasitic effect to fit the EMC requirements. Finally, measurements are performed, and the optimization results are presented and investigated, in comparison with reference PCB layout to assess the efficiency of the proposed methodology.Wided BelloumiArnaud BreardOmssad HajjiChristian VollaireJaleleddine Ben Hadj SlamaIEEEarticleElectromagnetic compatibility (EMC)PCB layout designDijkstra algorithmgenetic algorithmautomatic optimizationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 149870-149882 (2021)
institution DOAJ
collection DOAJ
language EN
topic Electromagnetic compatibility (EMC)
PCB layout design
Dijkstra algorithm
genetic algorithm
automatic optimization
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Electromagnetic compatibility (EMC)
PCB layout design
Dijkstra algorithm
genetic algorithm
automatic optimization
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Wided Belloumi
Arnaud Breard
Omssad Hajji
Christian Vollaire
Jaleleddine Ben Hadj Slama
Automatic PCB Layout Optimization of a DC-DC Converter Through Genetic Algorithm Regarding EMC Constraints
description This paper proposes an optimization approach for an automatic buck converter printed circuit board (PCB) design regarding the electromagnetic compatibility (EMC) constraints. The proposed solution is based on the combination of a genetic algorithm (GA) and a Dijkstra algorithm to generate the different PCB layout designs. Afterwards, a numerical modeling approach, taking into account all the stray elements, is proposed to obtain an accurate equivalent circuit for the PCB layout using ANSYS Q3D software. Subsequently, the complete behavior of the converter is simulated within SIMPLORER, including the electrical models of the components, the Line Impedance Stabilization Network (LISN) module as well as the PCB layout model. This aims to compute the conducted disturbances such as the common and the differential mode voltages. Then, this approach is implemented in an optimized process to reach the optimal geometry for the printed circuit board layout with the lowest parasitic effect to fit the EMC requirements. Finally, measurements are performed, and the optimization results are presented and investigated, in comparison with reference PCB layout to assess the efficiency of the proposed methodology.
format article
author Wided Belloumi
Arnaud Breard
Omssad Hajji
Christian Vollaire
Jaleleddine Ben Hadj Slama
author_facet Wided Belloumi
Arnaud Breard
Omssad Hajji
Christian Vollaire
Jaleleddine Ben Hadj Slama
author_sort Wided Belloumi
title Automatic PCB Layout Optimization of a DC-DC Converter Through Genetic Algorithm Regarding EMC Constraints
title_short Automatic PCB Layout Optimization of a DC-DC Converter Through Genetic Algorithm Regarding EMC Constraints
title_full Automatic PCB Layout Optimization of a DC-DC Converter Through Genetic Algorithm Regarding EMC Constraints
title_fullStr Automatic PCB Layout Optimization of a DC-DC Converter Through Genetic Algorithm Regarding EMC Constraints
title_full_unstemmed Automatic PCB Layout Optimization of a DC-DC Converter Through Genetic Algorithm Regarding EMC Constraints
title_sort automatic pcb layout optimization of a dc-dc converter through genetic algorithm regarding emc constraints
publisher IEEE
publishDate 2021
url https://doaj.org/article/94b84baf80fa4d299e93d2794b19b63c
work_keys_str_mv AT widedbelloumi automaticpcblayoutoptimizationofadcdcconverterthroughgeneticalgorithmregardingemcconstraints
AT arnaudbreard automaticpcblayoutoptimizationofadcdcconverterthroughgeneticalgorithmregardingemcconstraints
AT omssadhajji automaticpcblayoutoptimizationofadcdcconverterthroughgeneticalgorithmregardingemcconstraints
AT christianvollaire automaticpcblayoutoptimizationofadcdcconverterthroughgeneticalgorithmregardingemcconstraints
AT jaleleddinebenhadjslama automaticpcblayoutoptimizationofadcdcconverterthroughgeneticalgorithmregardingemcconstraints
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