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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MDPI AG
2020-04-01
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Series: | Energies |
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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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format | Article |
id | doaj.art-e9d644715b0a4080a6eccb6d1fade007 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T20:26:37Z |
publishDate | 2020-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
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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