Resumen
This paper presents a soft-computing technique to control the rotor current of a Doubly Fed Induction Generator (DFIG) using an Indirect Matrix Converter (IMC). The technique developed uses fuzzy logic to successfully control the rotor current, even with abnormal grid conditions, by governing the IMC rectifier and inverter sides. Although this control problem has been already analyzed and solved with conventional vector control and with Finite States Model Based Predictive Control (FS-MBPC), the fuzzy logic based controllers have a very acceptable response. The advantages of the developed technique are simpler code without the need of a specific mathematical model and robustness under grid abnormalities. These benefits decrease system costs, increase overall reliability and allow the control scheme to be implemented easily and entirely in FPGAs instead of DSPs-FPGA control systems.
| Idioma original | English |
|---|---|
| Título de la publicación alojada | Proceedings |
| Páginas | 4296-4301 |
| Número de páginas | 6 |
| DOI | |
| Estado | Published - 2011 |
| Evento | 37th Annual Conference of the IEEE Industrial Electronics Society, IECON 2011 - Melbourne, VIC, Australia Duración: 7 nov 2011 → 10 nov 2011 |
Other
| Other | 37th Annual Conference of the IEEE Industrial Electronics Society, IECON 2011 |
|---|---|
| País | Australia |
| Ciudad | Melbourne, VIC |
| Período | 7/11/11 → 10/11/11 |
Huella dactilar
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
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Rotor current fuzzy control of a DFIG with an Indirect Matrix Converter. / Calvillo, C. F.; Martell, F.; Elizondo, J. L.; Ávila, A.; MacIas, M. E.; Rivera, M.; Rodriguez, J.
Proceedings. 2011. p. 4296-4301 6120014.Resultado de la investigación: Conference contribution
TY - GEN
T1 - Rotor current fuzzy control of a DFIG with an Indirect Matrix Converter
AU - Calvillo, C. F.
AU - Martell, F.
AU - Elizondo, J. L.
AU - Ávila, A.
AU - MacIas, M. E.
AU - Rivera, M.
AU - Rodriguez, J.
PY - 2011
Y1 - 2011
N2 - This paper presents a soft-computing technique to control the rotor current of a Doubly Fed Induction Generator (DFIG) using an Indirect Matrix Converter (IMC). The technique developed uses fuzzy logic to successfully control the rotor current, even with abnormal grid conditions, by governing the IMC rectifier and inverter sides. Although this control problem has been already analyzed and solved with conventional vector control and with Finite States Model Based Predictive Control (FS-MBPC), the fuzzy logic based controllers have a very acceptable response. The advantages of the developed technique are simpler code without the need of a specific mathematical model and robustness under grid abnormalities. These benefits decrease system costs, increase overall reliability and allow the control scheme to be implemented easily and entirely in FPGAs instead of DSPs-FPGA control systems.
AB - This paper presents a soft-computing technique to control the rotor current of a Doubly Fed Induction Generator (DFIG) using an Indirect Matrix Converter (IMC). The technique developed uses fuzzy logic to successfully control the rotor current, even with abnormal grid conditions, by governing the IMC rectifier and inverter sides. Although this control problem has been already analyzed and solved with conventional vector control and with Finite States Model Based Predictive Control (FS-MBPC), the fuzzy logic based controllers have a very acceptable response. The advantages of the developed technique are simpler code without the need of a specific mathematical model and robustness under grid abnormalities. These benefits decrease system costs, increase overall reliability and allow the control scheme to be implemented easily and entirely in FPGAs instead of DSPs-FPGA control systems.
KW - Doubly Fed Induction Generator (DFIG)
KW - Fuzzy Control
KW - Indirect Matrix Converter (IMC)
UR - http://www.scopus.com/inward/record.url?scp=84856557893&partnerID=8YFLogxK
U2 - 10.1109/IECON.2011.6120014
DO - 10.1109/IECON.2011.6120014
M3 - Conference contribution
AN - SCOPUS:84856557893
SN - 9781612849720
SP - 4296
EP - 4301
BT - Proceedings
ER -