Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation

The purpose of this study is to design a real-time current predictive control for a wind energy conversion system (WECS) using a doubly-fed induction generator (DFIG). A wind emulator and a test bench for assessing control strategies were conceptualized. The DSPACE DS1104 board served as the foundat...

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Autores principales: Manale Bouderbala, Badre Bossoufi, Olivier Deblecker, Hala Alami Aroussi, Mohammed Taoussi, Ahmed Lagrioui, Saad Motahhir, Mehedi Masud, Fahad A. Alraddady
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/c1eebde84904454d8b7951b036fd002f
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spelling oai:doaj.org-article:c1eebde84904454d8b7951b036fd002f2021-11-11T15:39:48ZExperimental Validation of Predictive Current Control for DFIG: FPGA Implementation10.3390/electronics102126702079-9292https://doaj.org/article/c1eebde84904454d8b7951b036fd002f2021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2670https://doaj.org/toc/2079-9292The purpose of this study is to design a real-time current predictive control for a wind energy conversion system (WECS) using a doubly-fed induction generator (DFIG). A wind emulator and a test bench for assessing control strategies were conceptualized. The DSPACE DS1104 board served as the foundation for the design of a wind emulation system. While power is indirectly regulated via currents, the latter is controlled directly by current predictive control. Using discrete time, the control suggests the appropriate voltages to the converter for each sample period to attain the specified set points and control the power. The field-oriented control is employed to ensure that the two components, axes d and q, are decoupled. The present predictive control was established to regulate a DFIG’s active and reactive capabilities. To begin, a thorough examination of the WECS is discussed. Following that, a comprehensive description of predictive control laws based on reference frame orientation is offered. As a result, a simulation was done using Matlab/Simulink environments to assess the performance and resilience of the proposed control model. The predictive current control was then experimentally validated on a test bench to demonstrate its efficacy. The observed results reveal an astonishing correlation between simulations and experiments.Manale BouderbalaBadre BossoufiOlivier DebleckerHala Alami AroussiMohammed TaoussiAhmed LagriouiSaad MotahhirMehedi MasudFahad A. AlraddadyMDPI AGarticlecurrent controlDFIGFPGAWECSElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2670, p 2670 (2021)
institution DOAJ
collection DOAJ
language EN
topic current control
DFIG
FPGA
WECS
Electronics
TK7800-8360
spellingShingle current control
DFIG
FPGA
WECS
Electronics
TK7800-8360
Manale Bouderbala
Badre Bossoufi
Olivier Deblecker
Hala Alami Aroussi
Mohammed Taoussi
Ahmed Lagrioui
Saad Motahhir
Mehedi Masud
Fahad A. Alraddady
Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation
description The purpose of this study is to design a real-time current predictive control for a wind energy conversion system (WECS) using a doubly-fed induction generator (DFIG). A wind emulator and a test bench for assessing control strategies were conceptualized. The DSPACE DS1104 board served as the foundation for the design of a wind emulation system. While power is indirectly regulated via currents, the latter is controlled directly by current predictive control. Using discrete time, the control suggests the appropriate voltages to the converter for each sample period to attain the specified set points and control the power. The field-oriented control is employed to ensure that the two components, axes d and q, are decoupled. The present predictive control was established to regulate a DFIG’s active and reactive capabilities. To begin, a thorough examination of the WECS is discussed. Following that, a comprehensive description of predictive control laws based on reference frame orientation is offered. As a result, a simulation was done using Matlab/Simulink environments to assess the performance and resilience of the proposed control model. The predictive current control was then experimentally validated on a test bench to demonstrate its efficacy. The observed results reveal an astonishing correlation between simulations and experiments.
format article
author Manale Bouderbala
Badre Bossoufi
Olivier Deblecker
Hala Alami Aroussi
Mohammed Taoussi
Ahmed Lagrioui
Saad Motahhir
Mehedi Masud
Fahad A. Alraddady
author_facet Manale Bouderbala
Badre Bossoufi
Olivier Deblecker
Hala Alami Aroussi
Mohammed Taoussi
Ahmed Lagrioui
Saad Motahhir
Mehedi Masud
Fahad A. Alraddady
author_sort Manale Bouderbala
title Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation
title_short Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation
title_full Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation
title_fullStr Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation
title_full_unstemmed Experimental Validation of Predictive Current Control for DFIG: FPGA Implementation
title_sort experimental validation of predictive current control for dfig: fpga implementation
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/c1eebde84904454d8b7951b036fd002f
work_keys_str_mv AT manalebouderbala experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation
AT badrebossoufi experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation
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AT halaalamiaroussi experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation
AT mohammedtaoussi experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation
AT ahmedlagrioui experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation
AT saadmotahhir experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation
AT mehedimasud experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation
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