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Sensorless DFIG System Control via an Electromagnetic Torque Based on MRAS Speed Estimator.

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Title: Sensorless DFIG System Control via an Electromagnetic Torque Based on MRAS Speed Estimator.
Authors: Lama, Abdelbadia1 (AUTHOR) abdelbadia.lama@univ-biskra.dz, Serhoud, Hicham2 (AUTHOR) serhoud-hicham@univ-eloued.dz, Benchouia, Mohamed Toufik1 (AUTHOR)
Source: Energies (19961073). Oct2024, Vol. 17 Issue 19, p4980. 15p.
Subjects: Sensorless control systems, Pole assignment, Induction generators, Design exhibitions, Wind turbines
Abstract: The main goals of this research are to develop a method for obtaining the rotor position and speed in a doubly fed induction generator (DFIG) without using sensors in a variable-speed wind turbine installation. The considered method is based on the Model Reference Adaptive System (MRAS). According to this method, electromagnetic torque is used as an error variable for the adaptation process in order to refine the estimate. A good assessment is very important when trying to put into place any strategy that can control the behavior of a DFIG. This method of estimation functions by comparing the actual performance of the DFIG with that of a reference model and adjusting the system parameters to reduce any mismatch between the two. One notable advantage of this developed estimator is its stability across a broad range of speeds. Additionally, it is designed to exhibit resilience in the face of uncertainties in machine parameters. The proportional integral (PI) gains for the MRAS estimator are determined via pole placement. To assess and validate the entire DFIG model and the sensorless estimation method, comprehensive simulations are carried out using MATLAB/Simulink. [ABSTRACT FROM AUTHOR]
Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Header DbId: egs
DbLabel: Engineering Source
An: 180271723
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Sensorless DFIG System Control via an Electromagnetic Torque Based on MRAS Speed Estimator.
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  Data: <searchLink fieldCode="AR" term="%22Lama%2C+Abdelbadia%22">Lama, Abdelbadia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> abdelbadia.lama@univ-biskra.dz</i><br /><searchLink fieldCode="AR" term="%22Serhoud%2C+Hicham%22">Serhoud, Hicham</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> serhoud-hicham@univ-eloued.dz</i><br /><searchLink fieldCode="AR" term="%22Benchouia%2C+Mohamed+Toufik%22">Benchouia, Mohamed Toufik</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Oct2024, Vol. 17 Issue 19, p4980. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Sensorless+control+systems%22">Sensorless control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Pole+assignment%22">Pole assignment</searchLink><br /><searchLink fieldCode="DE" term="%22Induction+generators%22">Induction generators</searchLink><br /><searchLink fieldCode="DE" term="%22Design+exhibitions%22">Design exhibitions</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+turbines%22">Wind turbines</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The main goals of this research are to develop a method for obtaining the rotor position and speed in a doubly fed induction generator (DFIG) without using sensors in a variable-speed wind turbine installation. The considered method is based on the Model Reference Adaptive System (MRAS). According to this method, electromagnetic torque is used as an error variable for the adaptation process in order to refine the estimate. A good assessment is very important when trying to put into place any strategy that can control the behavior of a DFIG. This method of estimation functions by comparing the actual performance of the DFIG with that of a reference model and adjusting the system parameters to reduce any mismatch between the two. One notable advantage of this developed estimator is its stability across a broad range of speeds. Additionally, it is designed to exhibit resilience in the face of uncertainties in machine parameters. The proportional integral (PI) gains for the MRAS estimator are determined via pole placement. To assess and validate the entire DFIG model and the sensorless estimation method, comprehensive simulations are carried out using MATLAB/Simulink. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/en17194980
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 15
        StartPage: 4980
    Subjects:
      – SubjectFull: Sensorless control systems
        Type: general
      – SubjectFull: Pole assignment
        Type: general
      – SubjectFull: Induction generators
        Type: general
      – SubjectFull: Design exhibitions
        Type: general
      – SubjectFull: Wind turbines
        Type: general
    Titles:
      – TitleFull: Sensorless DFIG System Control via an Electromagnetic Torque Based on MRAS Speed Estimator.
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            NameFull: Lama, Abdelbadia
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            NameFull: Serhoud, Hicham
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            NameFull: Benchouia, Mohamed Toufik
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          Dates:
            – D: 01
              M: 10
              Text: Oct2024
              Type: published
              Y: 2024
          Identifiers:
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              Value: 19961073
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              Value: 17
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              Value: 19
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            – TitleFull: Energies (19961073)
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