Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques

This work presents a new methodology for designing input and output filters to be applied in a three-phase matrix converter, with an optimization problem solved by a metaheuristic algorithm. The algorithm determines the optimal values of the passive elements of the filters, taking as the fundamental...

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Main Authors: Joel Muñoz-Castillo, Germán Ardul Muñoz-Hernández, Edgar Alfredo Portilla-Flores, Eduardo Vega-Alvarado, Maria Bárbara Calva-Yáñez, Gerardo Mino-Aguilar, Paola Andrea Niño-Suarez
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/10/3524
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author Joel Muñoz-Castillo
Germán Ardul Muñoz-Hernández
Edgar Alfredo Portilla-Flores
Eduardo Vega-Alvarado
Maria Bárbara Calva-Yáñez
Gerardo Mino-Aguilar
Paola Andrea Niño-Suarez
author_facet Joel Muñoz-Castillo
Germán Ardul Muñoz-Hernández
Edgar Alfredo Portilla-Flores
Eduardo Vega-Alvarado
Maria Bárbara Calva-Yáñez
Gerardo Mino-Aguilar
Paola Andrea Niño-Suarez
author_sort Joel Muñoz-Castillo
collection DOAJ
description This work presents a new methodology for designing input and output filters to be applied in a three-phase matrix converter, with an optimization problem solved by a metaheuristic algorithm. The algorithm determines the optimal values of the passive elements of the filters, taking as the fundamental performance criterion the response in magnitude. It is based on the resonant frequency, in order to eliminate the harmonics in the input currents and the output voltages produced by the bidirectional switching and disturbances in the power supply. These filters are implemented in a direct matrix converter using a Venturini-type modulation in open loop configuration. Other developments for this filter design have been carried out, but most of them were based on the conventional procedure of determining a random value for some element and then finding the magnitude of the remaining elements. That approach does not ensure the best dynamic filter response. The proposed design technique requires no initial elements, since all values are calculated by the metaheuristic algorithm.
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spelling doaj.art-222718d78e244203befb70f0f192a6dc2023-11-20T01:02:08ZengMDPI AGApplied Sciences2076-34172020-05-011010352410.3390/app10103524Design of the Input and Output Filter for a Matrix Converter Using Evolutionary TechniquesJoel Muñoz-Castillo0Germán Ardul Muñoz-Hernández1Edgar Alfredo Portilla-Flores2Eduardo Vega-Alvarado3Maria Bárbara Calva-Yáñez4Gerardo Mino-Aguilar5Paola Andrea Niño-Suarez6Instituto Politécnico Nacional - CIDETEC, Mexico City 07700, MexicoFacultad de Ciencias de la Electrónica, Benemérita Universidad Autónoma de Puebla, Puebla 72000, MexicoInstituto Politécnico Nacional - CIDETEC, Mexico City 07700, MexicoInstituto Politécnico Nacional - CIDETEC, Mexico City 07700, MexicoInstituto Politécnico Nacional - CIDETEC, Mexico City 07700, MexicoFacultad de Ciencias de la Electrónica, Benemérita Universidad Autónoma de Puebla, Puebla 72000, MexicoInstituto Politécnico Nacional - ESIME AZC, Mexico City 07340, MexicoThis work presents a new methodology for designing input and output filters to be applied in a three-phase matrix converter, with an optimization problem solved by a metaheuristic algorithm. The algorithm determines the optimal values of the passive elements of the filters, taking as the fundamental performance criterion the response in magnitude. It is based on the resonant frequency, in order to eliminate the harmonics in the input currents and the output voltages produced by the bidirectional switching and disturbances in the power supply. These filters are implemented in a direct matrix converter using a Venturini-type modulation in open loop configuration. Other developments for this filter design have been carried out, but most of them were based on the conventional procedure of determining a random value for some element and then finding the magnitude of the remaining elements. That approach does not ensure the best dynamic filter response. The proposed design technique requires no initial elements, since all values are calculated by the metaheuristic algorithm.https://www.mdpi.com/2076-3417/10/10/3524matrix converterdifferential evolutionoptimization
spellingShingle Joel Muñoz-Castillo
Germán Ardul Muñoz-Hernández
Edgar Alfredo Portilla-Flores
Eduardo Vega-Alvarado
Maria Bárbara Calva-Yáñez
Gerardo Mino-Aguilar
Paola Andrea Niño-Suarez
Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques
Applied Sciences
matrix converter
differential evolution
optimization
title Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques
title_full Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques
title_fullStr Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques
title_full_unstemmed Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques
title_short Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques
title_sort design of the input and output filter for a matrix converter using evolutionary techniques
topic matrix converter
differential evolution
optimization
url https://www.mdpi.com/2076-3417/10/10/3524
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