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Optimization of the Voltage Total Harmonic Distortion in Multilevel Inverters by Using the Taguchi Method

  • Datos identificativos

    Identificador: imarina:9351843
    Handle: https://hdl.handle.net/20.500.11797/imarina9351843
    Autores:
    Lopez ARSosa JMSámano CDe León-Aldaco SEAguayo-Alquicira JLópez-Santos O
    Resumen:
    A critical reduction in the total harmonic distortion in the output voltage of multilevel inverters can be obtained with an appropriate selection of the angles to switch the power semiconductors at low frequency. Among the methods used to obtain the required sequence of angles, it is possible to recognize both standard and optimized methods, like the Newton–Raphson method or the genetic algorithm, to mention a few. However, implementing the genetic algorithm implies using several configuration parameters, so it is difficult to know if the best option was chosen. This paper implements the Taguchi design of experiments, the Taguchi method, to obtain the appropriate switching angles for an multilevel inverter producing an output voltage of five and seven levels. Experimental results obtained from a laboratory prototype using the computed angles in the MATLAB GA solver demonstrate the superiority of the proposed method.

  • Otros:

    Autor según el artículo: Lopez AR; Sosa JM; Sámano C; De León-Aldaco SE; Aguayo-Alquicira J; López-Santos O
    Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
    Autor/es de la URV: Lopez Santos, Oswaldo
    Palabras clave: Total harmonic distortion Taguchi design of experiments Multilevel inverters Genetic algorithms
    Resumen: A critical reduction in the total harmonic distortion in the output voltage of multilevel inverters can be obtained with an appropriate selection of the angles to switch the power semiconductors at low frequency. Among the methods used to obtain the required sequence of angles, it is possible to recognize both standard and optimized methods, like the Newton–Raphson method or the genetic algorithm, to mention a few. However, implementing the genetic algorithm implies using several configuration parameters, so it is difficult to know if the best option was chosen. This paper implements the Taguchi design of experiments, the Taguchi method, to obtain the appropriate switching angles for an multilevel inverter producing an output voltage of five and seven levels. Experimental results obtained from a laboratory prototype using the computed angles in the MATLAB GA solver demonstrate the superiority of the proposed method.
    Áreas temáticas: Mechanical engineering Industrial and manufacturing engineering Engineering, mechanical Engineering, electrical & electronic Electrical and electronic engineering Control and systems engineering Control and optimization Computer science (miscellaneous)
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: oswaldo.lopez@urv.cat
    Fecha de alta del registro: 2024-02-17
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Referencia al articulo segun fuente origial: Machines. 12 (1):
    Referencia de l'ítem segons les normes APA: Lopez AR; Sosa JM; Sámano C; De León-Aldaco SE; Aguayo-Alquicira J; López-Santos O (2024). Optimization of the Voltage Total Harmonic Distortion in Multilevel Inverters by Using the Taguchi Method. Machines, 12(1), -. DOI: 10.3390/machines12010007
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2024
    Tipo de publicación: Journal Publications

  • Palabras clave:

    Computer Science (Miscellaneous),Control and Optimization,Control and Systems Engineering,Electrical and Electronic Engineering,Engineering, Electrical & Electronic,Engineering, Mechanical,Industrial and Manufacturing Engineering,Mechanical Engineering
    Total harmonic distortion
    Taguchi design of experiments
    Multilevel inverters
    Genetic algorithms
    Mechanical engineering
    Industrial and manufacturing engineering
    Engineering, mechanical
    Engineering, electrical & electronic
    Electrical and electronic engineering
    Control and systems engineering
    Control and optimization
    Computer science (miscellaneous)

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