An Evolutionary EMI Filter Design Approach Based on In-Circuit Insertion Loss and Optimization of Power Density

Power density is one of the most significant issues in designing electromagnetic interference (EMI) filters for power electronic-based applications. Therefore, an effective EMI filter design should consider both its capability to ensure the compliance with the related EMI standard limits and the pos...

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Main Authors: Massimiliano Luna, Giuseppe La Tona, Angelo Accetta, Marcello Pucci, Maria Carmela Di Piazza
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/8/1957
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author Massimiliano Luna
Giuseppe La Tona
Angelo Accetta
Marcello Pucci
Maria Carmela Di Piazza
author_facet Massimiliano Luna
Giuseppe La Tona
Angelo Accetta
Marcello Pucci
Maria Carmela Di Piazza
author_sort Massimiliano Luna
collection DOAJ
description Power density is one of the most significant issues in designing electromagnetic interference (EMI) filters for power electronic-based applications. Therefore, an effective EMI filter design should consider both its capability to ensure the compliance with the related EMI standard limits and the possibility to build it by suitable components leading to the most compact configuration as well. To fulfill the above requirements, in this paper, an automatic procedure to get an improved design of EMI filters is proposed. Specifically, according to the proposed method, the values of filter parameters for both common mode (CM) and differential mode (DM) sections are selected by a genetic algorithm (GA) exploiting the in-circuit insertion loss, thus obtaining a more effective design. Besides, the components that set up the filter are selected by a rule-based procedure searching through a suitable database of commercial components to identify those allowing for the maximum power density. Experimental tests were performed using an inverter-fed induction motor drive as a case study, and the obtained results have demonstrated the validity of the proposed approach.
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spelling doaj.art-e9d644715b0a4080a6eccb6d1fade0072023-11-19T21:45:32ZengMDPI AGEnergies1996-10732020-04-01138195710.3390/en13081957An Evolutionary EMI Filter Design Approach Based on In-Circuit Insertion Loss and Optimization of Power DensityMassimiliano Luna0Giuseppe La Tona1Angelo Accetta2Marcello Pucci3Maria Carmela Di Piazza4Istituto di Ingegneria del Mare (INM), Consiglio Nazionale delle Ricerche (CNR), 90146 Palermo, ItalyIstituto di Ingegneria del Mare (INM), Consiglio Nazionale delle Ricerche (CNR), 90146 Palermo, ItalyIstituto di Ingegneria del Mare (INM), Consiglio Nazionale delle Ricerche (CNR), 90146 Palermo, ItalyIstituto di Ingegneria del Mare (INM), Consiglio Nazionale delle Ricerche (CNR), 90146 Palermo, ItalyIstituto di Ingegneria del Mare (INM), Consiglio Nazionale delle Ricerche (CNR), 90146 Palermo, ItalyPower density is one of the most significant issues in designing electromagnetic interference (EMI) filters for power electronic-based applications. Therefore, an effective EMI filter design should consider both its capability to ensure the compliance with the related EMI standard limits and the possibility to build it by suitable components leading to the most compact configuration as well. To fulfill the above requirements, in this paper, an automatic procedure to get an improved design of EMI filters is proposed. Specifically, according to the proposed method, the values of filter parameters for both common mode (CM) and differential mode (DM) sections are selected by a genetic algorithm (GA) exploiting the in-circuit insertion loss, thus obtaining a more effective design. Besides, the components that set up the filter are selected by a rule-based procedure searching through a suitable database of commercial components to identify those allowing for the maximum power density. Experimental tests were performed using an inverter-fed induction motor drive as a case study, and the obtained results have demonstrated the validity of the proposed approach.https://www.mdpi.com/1996-1073/13/8/1957EMI filterpower converterpower densityoptimal designgenetic algorithmelectrical drives
spellingShingle Massimiliano Luna
Giuseppe La Tona
Angelo Accetta
Marcello Pucci
Maria Carmela Di Piazza
An Evolutionary EMI Filter Design Approach Based on In-Circuit Insertion Loss and Optimization of Power Density
Energies
EMI filter
power converter
power density
optimal design
genetic algorithm
electrical drives
title An Evolutionary EMI Filter Design Approach Based on In-Circuit Insertion Loss and Optimization of Power Density
title_full An Evolutionary EMI Filter Design Approach Based on In-Circuit Insertion Loss and Optimization of Power Density
title_fullStr An Evolutionary EMI Filter Design Approach Based on In-Circuit Insertion Loss and Optimization of Power Density
title_full_unstemmed An Evolutionary EMI Filter Design Approach Based on In-Circuit Insertion Loss and Optimization of Power Density
title_short An Evolutionary EMI Filter Design Approach Based on In-Circuit Insertion Loss and Optimization of Power Density
title_sort evolutionary emi filter design approach based on in circuit insertion loss and optimization of power density
topic EMI filter
power converter
power density
optimal design
genetic algorithm
electrical drives
url https://www.mdpi.com/1996-1073/13/8/1957
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