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Algorithm on fuzzy adaptive backstepping control of fractional order for doubly‐fed induction generators.

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Title: Algorithm on fuzzy adaptive backstepping control of fractional order for doubly‐fed induction generators.
Authors: Aounallah, Tarek1 (AUTHOR), Essounbouli, Najib2 (AUTHOR) najib.essounbouli@univ‐reims.fr, Hamzaoui, Abdelaziz2 (AUTHOR), Bouchafaa, Farid1 (AUTHOR)
Source: IET Renewable Power Generation (Wiley-Blackwell). Jun2018, Vol. 12 Issue 8, p962-967. 6p.
Abstract: This study proposes a fractional‐order control for a variable speed wind energy system equipped with a doubly‐fed induction generator. The control scheme under study, which is applied to the generator‐side converter, combines the feedback form of backstepping technique with two Takagi–Sugeno fuzzy systems in the fractional order. The resulting virtual and global control laws improve the system's robustness and tracking performance. Moreover, this allows getting rid of the requirements of the generator parameters knowledge, which is an initial condition to the conventional backstepping controller. This control system, with a fractional Lyapunov function, assures the global system stability, aims to attenuate the effect of external disturbances and the model uncertainties on the power transferred to the grid. The comparison of the simulation results between the proposed control technique and its integer‐order counterpart confirms the efficiency of the fractional suggested approach. [ABSTRACT FROM AUTHOR]
Copyright of IET Renewable Power Generation (Wiley-Blackwell) 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.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 148147737
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PubType: Academic Journal
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  Data: Algorithm on fuzzy adaptive backstepping control of fractional order for doubly‐fed induction generators.
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  Data: <searchLink fieldCode="AR" term="%22Aounallah%2C+Tarek%22">Aounallah, Tarek</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Essounbouli%2C+Najib%22">Essounbouli, Najib</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> najib.essounbouli@univ‐reims.fr</i><br /><searchLink fieldCode="AR" term="%22Hamzaoui%2C+Abdelaziz%22">Hamzaoui, Abdelaziz</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bouchafaa%2C+Farid%22">Bouchafaa, Farid</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22IET+Renewable+Power+Generation+%28Wiley-Blackwell%29%22">IET Renewable Power Generation (Wiley-Blackwell)</searchLink>. Jun2018, Vol. 12 Issue 8, p962-967. 6p.
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study proposes a fractional‐order control for a variable speed wind energy system equipped with a doubly‐fed induction generator. The control scheme under study, which is applied to the generator‐side converter, combines the feedback form of backstepping technique with two Takagi–Sugeno fuzzy systems in the fractional order. The resulting virtual and global control laws improve the system's robustness and tracking performance. Moreover, this allows getting rid of the requirements of the generator parameters knowledge, which is an initial condition to the conventional backstepping controller. This control system, with a fractional Lyapunov function, assures the global system stability, aims to attenuate the effect of external disturbances and the model uncertainties on the power transferred to the grid. The comparison of the simulation results between the proposed control technique and its integer‐order counterpart confirms the efficiency of the fractional suggested approach. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IET Renewable Power Generation (Wiley-Blackwell) 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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      – Type: doi
        Value: 10.1049/iet-rpg.2017.0342
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      – Code: eng
        Text: English
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      – TitleFull: Algorithm on fuzzy adaptive backstepping control of fractional order for doubly‐fed induction generators.
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            NameFull: Aounallah, Tarek
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            NameFull: Essounbouli, Najib
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            NameFull: Hamzaoui, Abdelaziz
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            NameFull: Bouchafaa, Farid
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              M: 06
              Text: Jun2018
              Type: published
              Y: 2018
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              Value: 12
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              Value: 8
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            – TitleFull: IET Renewable Power Generation (Wiley-Blackwell)
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