### Resumen

In this paper two control techniques: Finite States - Model Based Predictive Control (FS - MBPC) and Fuzzy Logic Control (FLC) are developed to obtain arbitrary output currents, needed in a variable speed Wind Energy Conversion System (WECS). In this study, the simulation performance between FS-MBPC and FLC of the rotor current in a Doubly Fed Induction Generator (DFIG) with an Indirect Matrix Converter is evaluated. The simulations were carried out with constant shaft speed, and constant ramp speed with arbitrary rotor current references. Both FS-MBPC and FLC showed very high performance, following smoothly and rapidly the current reference with a very low error. The FS-MBPC dynamic response is slightly better than of the FLC. However, fewer mathematical calculations, and less measured data, and fewer computational requirements suggest that FLC can be easier to implement in FPGAs instead of composite microprocessor-based control platforms.

Idioma original | English |
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Título de la publicación alojada | Proceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society |

Páginas | 6063-6068 |

Número de páginas | 6 |

DOI | |

Estado | Published - 2012 |

Evento | 38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 - Montreal, QC, Canada Duración: 25 oct 2012 → 28 oct 2012 |

### Other

Other | 38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 |
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País | Canada |

Ciudad | Montreal, QC |

Período | 25/10/12 → 28/10/12 |

### Huella dactilar

### ASJC Scopus subject areas

- Control and Systems Engineering
- Electrical and Electronic Engineering

### Citar esto

*Proceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society*(pp. 6063-6068). [6389090] https://doi.org/10.1109/IECON.2012.6389090

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*Proceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.*, 6389090, pp. 6063-6068, 38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012, Montreal, QC, Canada, 25/10/12. https://doi.org/10.1109/IECON.2012.6389090

**Comparison of Model Based Predictive Control and Fuzzy Logic Control of a DFIG with an Indirect Matrix Converter.** / Calvillo, C. F.; Olloqui, A.; Martell, F.; Elizondo, J. L.; Avila, A.; MacIas, M. E.; Rivera, M.; Rodriguez, J.

Resultado de la investigación: Conference contribution

TY - GEN

T1 - Comparison of Model Based Predictive Control and Fuzzy Logic Control of a DFIG with an Indirect Matrix Converter

AU - Calvillo, C. F.

AU - Olloqui, A.

AU - Martell, F.

AU - Elizondo, J. L.

AU - Avila, A.

AU - MacIas, M. E.

AU - Rivera, M.

AU - Rodriguez, J.

PY - 2012

Y1 - 2012

N2 - In this paper two control techniques: Finite States - Model Based Predictive Control (FS - MBPC) and Fuzzy Logic Control (FLC) are developed to obtain arbitrary output currents, needed in a variable speed Wind Energy Conversion System (WECS). In this study, the simulation performance between FS-MBPC and FLC of the rotor current in a Doubly Fed Induction Generator (DFIG) with an Indirect Matrix Converter is evaluated. The simulations were carried out with constant shaft speed, and constant ramp speed with arbitrary rotor current references. Both FS-MBPC and FLC showed very high performance, following smoothly and rapidly the current reference with a very low error. The FS-MBPC dynamic response is slightly better than of the FLC. However, fewer mathematical calculations, and less measured data, and fewer computational requirements suggest that FLC can be easier to implement in FPGAs instead of composite microprocessor-based control platforms.

AB - In this paper two control techniques: Finite States - Model Based Predictive Control (FS - MBPC) and Fuzzy Logic Control (FLC) are developed to obtain arbitrary output currents, needed in a variable speed Wind Energy Conversion System (WECS). In this study, the simulation performance between FS-MBPC and FLC of the rotor current in a Doubly Fed Induction Generator (DFIG) with an Indirect Matrix Converter is evaluated. The simulations were carried out with constant shaft speed, and constant ramp speed with arbitrary rotor current references. Both FS-MBPC and FLC showed very high performance, following smoothly and rapidly the current reference with a very low error. The FS-MBPC dynamic response is slightly better than of the FLC. However, fewer mathematical calculations, and less measured data, and fewer computational requirements suggest that FLC can be easier to implement in FPGAs instead of composite microprocessor-based control platforms.

KW - Doubly Fed Induction Generator (DFIG)

KW - Fuzzy Logic Control

KW - Indirect Matrix Converter (IMC)

KW - Model Based Predictive Control

UR - http://www.scopus.com/inward/record.url?scp=84872904276&partnerID=8YFLogxK

U2 - 10.1109/IECON.2012.6389090

DO - 10.1109/IECON.2012.6389090

M3 - Conference contribution

AN - SCOPUS:84872904276

SN - 9781467324212

SP - 6063

EP - 6068

BT - Proceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society

ER -