Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems.

Saved in:
Bibliographic Details
Title: Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems.
Authors: Ghoudelbourk, Sihem1 (AUTHOR) sihem.ghoud-lbourk@univ-annaba.dz, Benbouhenni, Habib2 (AUTHOR), Yahdou, Adil3 (AUTHOR), Elbarary, Zakaria Mohamed Salem4 (AUTHOR), Bizon, Nicu5 (AUTHOR)
Source: Energy Science & Engineering. Jun2026, Vol. 14 Issue 6, p2785-2815. 31p.
Subject Terms: *Matrix converters, *Robust control, *Wind turbines, *Power supply quality, *Feedback control systems, *Torque control, *Harmonic distortion (Physics), *Electric generators
Abstract: A viable approach to meet rising power demands and mitigate global warming is the installation of wind turbine systems (WTSs). However, variable wind speeds can significantly impact the energy output of these highly interconnected and nonlinear systems. As a result, maintaining energy quality and operational performance remains a major challenge for researchers and decision‐makers. Although proportional–integral (PI) regulators and two‐level converters are commonly used in WTSs, they may struggle under rapidly changing wind conditions. This study proposes a command technique for a WTS that utilizes a doubly fed induction generator (DFIG) to manage energy output amid fluctuating wind conditions. The proposed strategy improves current control and allows for independent management of DFIG power by integrating a matrix converter (MC) with a fractional calculus‐based PI regulator. Unlike usual AC/DC/AC converters, the MC is an advanced AC/AC energy converter that offers enhanced voltage and frequency control along with bidirectional power flow. The effectiveness of the MC and fractional calculus‐based PI regulator is evaluated in terms of minimizing torque ripples, reducing total harmonic distortion (THD), and regulating DFIG energy. MATLAB/Simulink simulations indicate that the new robust control outperforms usual algorithms by reducing torque fluctuations and current THD. A comparative analysis shows improvements in power overshoot, response time, THD, and power ripple mitigation. Furthermore, compared with the two‐level converter systems, the new robust algorithm demonstrates greater strength against variations in wind conditions and system parameters. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: enr
DbLabel: Energy & Power Source
An: 194418745
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ghoudelbourk%2C+Sihem%22">Ghoudelbourk, Sihem</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sihem.ghoud-lbourk@univ-annaba.dz</i><br /><searchLink fieldCode="AR" term="%22Benbouhenni%2C+Habib%22">Benbouhenni, Habib</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yahdou%2C+Adil%22">Yahdou, Adil</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Elbarary%2C+Zakaria+Mohamed+Salem%22">Elbarary, Zakaria Mohamed Salem</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bizon%2C+Nicu%22">Bizon, Nicu</searchLink><relatesTo>5</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energy+Science+%26+Engineering%22">Energy Science & Engineering</searchLink>. Jun2026, Vol. 14 Issue 6, p2785-2815. 31p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Matrix+converters%22">Matrix converters</searchLink><br />*<searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br />*<searchLink fieldCode="DE" term="%22Wind+turbines%22">Wind turbines</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+supply+quality%22">Power supply quality</searchLink><br />*<searchLink fieldCode="DE" term="%22Feedback+control+systems%22">Feedback control systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Torque+control%22">Torque control</searchLink><br />*<searchLink fieldCode="DE" term="%22Harmonic+distortion+%28Physics%29%22">Harmonic distortion (Physics)</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+generators%22">Electric generators</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A viable approach to meet rising power demands and mitigate global warming is the installation of wind turbine systems (WTSs). However, variable wind speeds can significantly impact the energy output of these highly interconnected and nonlinear systems. As a result, maintaining energy quality and operational performance remains a major challenge for researchers and decision‐makers. Although proportional–integral (PI) regulators and two‐level converters are commonly used in WTSs, they may struggle under rapidly changing wind conditions. This study proposes a command technique for a WTS that utilizes a doubly fed induction generator (DFIG) to manage energy output amid fluctuating wind conditions. The proposed strategy improves current control and allows for independent management of DFIG power by integrating a matrix converter (MC) with a fractional calculus‐based PI regulator. Unlike usual AC/DC/AC converters, the MC is an advanced AC/AC energy converter that offers enhanced voltage and frequency control along with bidirectional power flow. The effectiveness of the MC and fractional calculus‐based PI regulator is evaluated in terms of minimizing torque ripples, reducing total harmonic distortion (THD), and regulating DFIG energy. MATLAB/Simulink simulations indicate that the new robust control outperforms usual algorithms by reducing torque fluctuations and current THD. A comparative analysis shows improvements in power overshoot, response time, THD, and power ripple mitigation. Furthermore, compared with the two‐level converter systems, the new robust algorithm demonstrates greater strength against variations in wind conditions and system parameters. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194418745
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/ese3.70506
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 31
        StartPage: 2785
    Subjects:
      – SubjectFull: Matrix converters
        Type: general
      – SubjectFull: Robust control
        Type: general
      – SubjectFull: Wind turbines
        Type: general
      – SubjectFull: Power supply quality
        Type: general
      – SubjectFull: Feedback control systems
        Type: general
      – SubjectFull: Torque control
        Type: general
      – SubjectFull: Harmonic distortion (Physics)
        Type: general
      – SubjectFull: Electric generators
        Type: general
    Titles:
      – TitleFull: Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ghoudelbourk, Sihem
      – PersonEntity:
          Name:
            NameFull: Benbouhenni, Habib
      – PersonEntity:
          Name:
            NameFull: Yahdou, Adil
      – PersonEntity:
          Name:
            NameFull: Elbarary, Zakaria Mohamed Salem
      – PersonEntity:
          Name:
            NameFull: Bizon, Nicu
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20500505
          Numbering:
            – Type: volume
              Value: 14
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Energy Science & Engineering
              Type: main
ResultId 1