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New M5P model tree‐based control for doubly fed induction generator in wind energy conversion system.

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Title: New M5P model tree‐based control for doubly fed induction generator in wind energy conversion system.
Authors: Ali, Mounira1 (AUTHOR) mounira-sm@hotmail.com, Talha, Abdelaziz1 (AUTHOR), Berkouk, El madjid2 (AUTHOR)
Source: Wind Energy. Sep2020, Vol. 23 Issue 9, p1831-1845. 15p.
Subjects: Wind energy conversion systems, Alternating current generators, Induction generators, Reactive power control, Fuzzy logic, Algorithms
Abstract: This paper presents a new algorithm based on the combination of fuzzy logic control with M5 decision tree algorithm for doubly fed induction generator active and reactive power control. The M5 model tree is a machine learning algorithm that uses the extracted dataset from fuzzy logic for the aim of control performance enhancement. Because the fuzzy logic provides high design and implementation complexity, the new control approach is proposed to reduce its complexity and to achieve fast dynamic control by translating the fuzzy logic algorithm into simple if‐then instructions using M5 model tree. The obtained model shows good agreement with fuzzy logic in rotor side control. The effectiveness of the proposed control approach is investigated through Matlab/Simulink software. Furthermore, a cosimulated through processor in the loop testing is performed as an experimental verification using a low‐cost STM32F407 discovery board. [ABSTRACT FROM AUTHOR]
Copyright of Wind Energy is the property of Wiley-Blackwell 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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DbLabel: Engineering Source
An: 145009370
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  Data: New M5P model tree‐based control for doubly fed induction generator in wind energy conversion system.
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  Data: <searchLink fieldCode="AR" term="%22Ali%2C+Mounira%22">Ali, Mounira</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mounira-sm@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22Talha%2C+Abdelaziz%22">Talha, Abdelaziz</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Berkouk%2C+El+madjid%22">Berkouk, El madjid</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Wind+Energy%22">Wind Energy</searchLink>. Sep2020, Vol. 23 Issue 9, p1831-1845. 15p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Wind+energy+conversion+systems%22">Wind energy conversion systems</searchLink><br /><searchLink fieldCode="DE" term="%22Alternating+current+generators%22">Alternating current generators</searchLink><br /><searchLink fieldCode="DE" term="%22Induction+generators%22">Induction generators</searchLink><br /><searchLink fieldCode="DE" term="%22Reactive+power+control%22">Reactive power control</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+logic%22">Fuzzy logic</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper presents a new algorithm based on the combination of fuzzy logic control with M5 decision tree algorithm for doubly fed induction generator active and reactive power control. The M5 model tree is a machine learning algorithm that uses the extracted dataset from fuzzy logic for the aim of control performance enhancement. Because the fuzzy logic provides high design and implementation complexity, the new control approach is proposed to reduce its complexity and to achieve fast dynamic control by translating the fuzzy logic algorithm into simple if‐then instructions using M5 model tree. The obtained model shows good agreement with fuzzy logic in rotor side control. The effectiveness of the proposed control approach is investigated through Matlab/Simulink software. Furthermore, a cosimulated through processor in the loop testing is performed as an experimental verification using a low‐cost STM32F407 discovery board. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Wind Energy is the property of Wiley-Blackwell 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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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/we.2519
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 15
        StartPage: 1831
    Subjects:
      – SubjectFull: Wind energy conversion systems
        Type: general
      – SubjectFull: Alternating current generators
        Type: general
      – SubjectFull: Induction generators
        Type: general
      – SubjectFull: Reactive power control
        Type: general
      – SubjectFull: Fuzzy logic
        Type: general
      – SubjectFull: Algorithms
        Type: general
    Titles:
      – TitleFull: New M5P model tree‐based control for doubly fed induction generator in wind energy conversion system.
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            NameFull: Ali, Mounira
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            NameFull: Talha, Abdelaziz
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            NameFull: Berkouk, El madjid
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            – D: 01
              M: 09
              Text: Sep2020
              Type: published
              Y: 2020
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              Value: 9
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            – TitleFull: Wind Energy
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