Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current Control
This paper shows an increase in the robustness of a DFIG-based wind energy system when a predictive-repetitive controller in the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>d</mi><mi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/11/4114 |
| _version_ | 1797493544565342208 |
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| author | Eliomar R. Conde Duque Angelo Lunardi Juan S. Solís-Chaves Tiago dos S. Paiva Darlan A. Fernandes Alfeu J. Sguarezi Filho |
| author_facet | Eliomar R. Conde Duque Angelo Lunardi Juan S. Solís-Chaves Tiago dos S. Paiva Darlan A. Fernandes Alfeu J. Sguarezi Filho |
| author_sort | Eliomar R. Conde Duque |
| collection | DOAJ |
| description | This paper shows an increase in the robustness of a DFIG-based wind energy system when a predictive-repetitive controller in the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>d</mi><mi>q</mi></mrow></semantics></math></inline-formula> reference frame is used for the control of the rotor current. This designing approach proposes a model predictive control with a receding horizon technique that uses the frequency decomposition of the reference signal as a filter. Furthermore, an augmented space-state model from the original plant model is obtained, and its implementation is addressed from the perspective of normal operating conditions of DFIG in wind energy systems. Additionally, this repetitive controller increases the robustness of the predictive control when a mismatch in machine parameters is considered. Experimental results presented in this paper endorse the advantages of this controller. |
| first_indexed | 2024-03-10T01:21:31Z |
| format | Article |
| id | doaj.art-fd720848cd514fc9aabf445f63e77ad8 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T01:21:31Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-fd720848cd514fc9aabf445f63e77ad82023-11-23T14:00:35ZengMDPI AGEnergies1996-10732022-06-011511411410.3390/en15114114Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current ControlEliomar R. Conde Duque0Angelo Lunardi1Juan S. Solís-Chaves2Tiago dos S. Paiva3Darlan A. Fernandes4Alfeu J. Sguarezi Filho5The Engineering, Modeling and Applied Social Sciences Center (CECS), Federal University of ABC, Santo André 09210-580, SP, BrazilThe Engineering, Modeling and Applied Social Sciences Center (CECS), Federal University of ABC, Santo André 09210-580, SP, BrazilMechatronic Engineering Department, ECCI University, Cl. 51 # 19-12, Bogotá 110231, ColombiaDepartment of Electrical Engineering, Federal University of Paraíba, João Pessoa 58051-900, PB, BrazilDepartment of Electrical Engineering, Federal University of Paraíba, João Pessoa 58051-900, PB, BrazilThe Engineering, Modeling and Applied Social Sciences Center (CECS), Federal University of ABC, Santo André 09210-580, SP, BrazilThis paper shows an increase in the robustness of a DFIG-based wind energy system when a predictive-repetitive controller in the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>d</mi><mi>q</mi></mrow></semantics></math></inline-formula> reference frame is used for the control of the rotor current. This designing approach proposes a model predictive control with a receding horizon technique that uses the frequency decomposition of the reference signal as a filter. Furthermore, an augmented space-state model from the original plant model is obtained, and its implementation is addressed from the perspective of normal operating conditions of DFIG in wind energy systems. Additionally, this repetitive controller increases the robustness of the predictive control when a mismatch in machine parameters is considered. Experimental results presented in this paper endorse the advantages of this controller.https://www.mdpi.com/1996-1073/15/11/4114double-fed induction generatorpower controlpredictive controlrenewable energyrepetitive controlwind energy systems |
| spellingShingle | Eliomar R. Conde Duque Angelo Lunardi Juan S. Solís-Chaves Tiago dos S. Paiva Darlan A. Fernandes Alfeu J. Sguarezi Filho Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current Control Energies double-fed induction generator power control predictive control renewable energy repetitive control wind energy systems |
| title | Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current Control |
| title_full | Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current Control |
| title_fullStr | Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current Control |
| title_full_unstemmed | Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current Control |
| title_short | Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current Control |
| title_sort | improvement of robustness of mpc adding repetitive behavior for the dfig current control |
| topic | double-fed induction generator power control predictive control renewable energy repetitive control wind energy systems |
| url | https://www.mdpi.com/1996-1073/15/11/4114 |
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