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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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) |
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current control DFIG FPGA WECS Electronics TK7800-8360 |
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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 AT olivierdeblecker experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation AT halaalamiaroussi experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation AT mohammedtaoussi experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation AT ahmedlagrioui experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation AT saadmotahhir experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation AT mehedimasud experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation AT fahadaalraddady experimentalvalidationofpredictivecurrentcontrolfordfigfpgaimplementation |
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