Predictive Incremental Vector Control for DFIG With Weighted-Dynamic Objective Constraint-Handling Method-PSO Weighting Matrices Design
This paper proposes a Particle Swarm Optimization (PSO) based method, the Weighted-Dynamic-Objective Constraint-Handling PSO Method (WDOCHM-PSO). This was used to design the weighting matrices of an incremental Model-Based Predictive Controller (MBPC) for a Doubly Fed Induction Generator (DFIG) appl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9121987/ |
| _version_ | 1818929893246763008 |
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| author | Lucas Lima Rodrigues J. Sebastian Solis-Chaves Omar A. C. Vilcanqui Alfeu J. Sguarezi Filho |
| author_facet | Lucas Lima Rodrigues J. Sebastian Solis-Chaves Omar A. C. Vilcanqui Alfeu J. Sguarezi Filho |
| author_sort | Lucas Lima Rodrigues |
| collection | DOAJ |
| description | This paper proposes a Particle Swarm Optimization (PSO) based method, the Weighted-Dynamic-Objective Constraint-Handling PSO Method (WDOCHM-PSO). This was used to design the weighting matrices of an incremental Model-Based Predictive Controller (MBPC) for a Doubly Fed Induction Generator (DFIG) applied in a small-scale wind energy system. In contrast to the original PSO, the proposed method has an inner mechanism for dealing with constraints and an adaptive search factor. Additionally, the proposed incremental MPBC implementation does not need the flux information, since the intrinsic integral action rejects the constant flux disturbance. Finally, experimental results show that the proposed controller with the new constraint handling design method is nearly two times faster (In terms of settling time) than other formulations reported in the literature. |
| first_indexed | 2024-12-20T03:52:02Z |
| format | Article |
| id | doaj.art-ec16ad7b211946148e0898127c5f516d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T03:52:02Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-ec16ad7b211946148e0898127c5f516d2022-12-21T19:54:27ZengIEEEIEEE Access2169-35362020-01-01811411211412210.1109/ACCESS.2020.30032859121987Predictive Incremental Vector Control for DFIG With Weighted-Dynamic Objective Constraint-Handling Method-PSO Weighting Matrices DesignLucas Lima Rodrigues0https://orcid.org/0000-0002-2350-7416J. Sebastian Solis-Chaves1https://orcid.org/0000-0002-3211-3398Omar A. C. Vilcanqui2https://orcid.org/0000-0003-0508-5376Alfeu J. Sguarezi Filho3https://orcid.org/0000-0001-9981-436XDepartment of Engineering, Modeling and Applied Social Sciences Center (CECS), Federal University of ABC (UFABC), Santo André, BrazilDepartment of Mechatronic Engineering, Universidad Escuela Colombiana de Carreras Industriales - ECCI, Bogotá, ColombiaCenter for Exact and Technological Sciences (CCET), Federal University of Acre, Rio Branco, BrazilDepartment of Engineering, Modeling and Applied Social Sciences Center (CECS), Federal University of ABC (UFABC), Santo André, BrazilThis paper proposes a Particle Swarm Optimization (PSO) based method, the Weighted-Dynamic-Objective Constraint-Handling PSO Method (WDOCHM-PSO). This was used to design the weighting matrices of an incremental Model-Based Predictive Controller (MBPC) for a Doubly Fed Induction Generator (DFIG) applied in a small-scale wind energy system. In contrast to the original PSO, the proposed method has an inner mechanism for dealing with constraints and an adaptive search factor. Additionally, the proposed incremental MPBC implementation does not need the flux information, since the intrinsic integral action rejects the constant flux disturbance. Finally, experimental results show that the proposed controller with the new constraint handling design method is nearly two times faster (In terms of settling time) than other formulations reported in the literature.https://ieeexplore.ieee.org/document/9121987/Doubly-fed induction generatorparticle swarm optimizationpredictive controlwind energy |
| spellingShingle | Lucas Lima Rodrigues J. Sebastian Solis-Chaves Omar A. C. Vilcanqui Alfeu J. Sguarezi Filho Predictive Incremental Vector Control for DFIG With Weighted-Dynamic Objective Constraint-Handling Method-PSO Weighting Matrices Design IEEE Access Doubly-fed induction generator particle swarm optimization predictive control wind energy |
| title | Predictive Incremental Vector Control for DFIG With Weighted-Dynamic Objective Constraint-Handling Method-PSO Weighting Matrices Design |
| title_full | Predictive Incremental Vector Control for DFIG With Weighted-Dynamic Objective Constraint-Handling Method-PSO Weighting Matrices Design |
| title_fullStr | Predictive Incremental Vector Control for DFIG With Weighted-Dynamic Objective Constraint-Handling Method-PSO Weighting Matrices Design |
| title_full_unstemmed | Predictive Incremental Vector Control for DFIG With Weighted-Dynamic Objective Constraint-Handling Method-PSO Weighting Matrices Design |
| title_short | Predictive Incremental Vector Control for DFIG With Weighted-Dynamic Objective Constraint-Handling Method-PSO Weighting Matrices Design |
| title_sort | predictive incremental vector control for dfig with weighted dynamic objective constraint handling method pso weighting matrices design |
| topic | Doubly-fed induction generator particle swarm optimization predictive control wind energy |
| url | https://ieeexplore.ieee.org/document/9121987/ |
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