Design of the Input and Output Filter for a Matrix Converter Using Evolutionary Techniques
Autor: | Maria Barbara Calva-Yanez, Joel Muñoz-Castillo, Gerardo Mino-Aguilar, Eduardo Vega-Alvarado, Edgar Alfredo Portilla-Flores, German Ardul Munoz-Hernandez, Paola Andrea Niño-Suárez |
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Rok vydání: | 2020 |
Předmět: |
Optimization problem
Computer science 02 engineering and technology lcsh:Technology lcsh:Chemistry Control theory 0202 electrical engineering electronic engineering information engineering matrix converter General Materials Science lcsh:QH301-705.5 Instrumentation Metaheuristic Fluid Flow and Transfer Processes lcsh:T differential evolution Process Chemistry and Technology 020208 electrical & electronic engineering General Engineering Open-loop controller lcsh:QC1-999 Computer Science Applications Power (physics) Filter design lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 Filter (video) Differential evolution Harmonics 020201 artificial intelligence & image processing lcsh:Engineering (General). Civil engineering (General) optimization lcsh:Physics |
Zdroj: | Applied Sciences Volume 10 Issue 10 Applied Sciences, Vol 10, Iss 3524, p 3524 (2020) |
ISSN: | 2076-3417 |
DOI: | 10.3390/app10103524 |
Popis: | 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. |
Databáze: | OpenAIRE |
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