Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

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

  • Identification data

    Identifier: imarina:9351843
    Handle: https://hdl.handle.net/20.500.11797/imarina9351843
    Authors:
    Lopez ARSosa JMSámano CDe León-Aldaco SEAguayo-Alquicira JLópez-Santos O
    Abstract:
    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.

  • Others:

    Author, as appears in the article.: Lopez AR; Sosa JM; Sámano C; De León-Aldaco SE; Aguayo-Alquicira J; López-Santos O
    Department: Enginyeria Electrònica, Elèctrica i Automàtica
    URV's Author/s: Lopez Santos, Oswaldo
    Keywords: Total harmonic distortion Taguchi design of experiments Multilevel inverters Genetic algorithms
    Abstract: 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.
    Thematic Areas: 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)
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: oswaldo.lopez@urv.cat
    Record's date: 2024-02-17
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/2075-1702/12/1/7
    Papper original source: Machines. 12 (1):
    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
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.3390/machines12010007
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2024
    Publication Type: Journal Publications

  • Keywords:

    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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