Model predictive control of cascaded H-bridge multilevel inverters

P. Cortés, A. Wilson, S. Kouro, J. Rodríguez, H. Abu-Rub

Resultado de la investigación: Conference contribution

8 Citas (Scopus)

Resumen

This paper presents a Model Predictive Current Control strategy for a multilevel cascaded inverter. A simple discrete model is used to predict the behavior of the system for each possible voltage vector generated by the inverter. The voltage vector that minimizes a cost function is selected and applied during a whole sampling interval. The cost function measures the load current error. Due to the large number of voltage vectors, voltage levels per phase and switching states in a multilevel cascaded inverter, high amount of calculations is needed in order to make predictions. This makes difficult the implementation of this control strategy in a standard control platform. A modified control strategy that considerably reduces the number of calculations is proposed and validated with simulation results using a Cascaded H-Bridge multilevel inverter.

Idioma originalEnglish
Título de la publicación alojada2009 13th European Conference on Power Electronics and Applications, EPE '09
EstadoPublished - 2009
Evento2009 13th European Conference on Power Electronics and Applications, EPE '09 - Barcelona, Spain
Duración: 8 sep 200910 sep 2009

Other

Other2009 13th European Conference on Power Electronics and Applications, EPE '09
PaísSpain
CiudadBarcelona
Período8/09/0910/09/09

Huella dactilar

Model predictive control
Electric potential
Cost functions
Electric current control
Sampling

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Citar esto

Cortés, P., Wilson, A., Kouro, S., Rodríguez, J., & Abu-Rub, H. (2009). Model predictive control of cascaded H-bridge multilevel inverters. En 2009 13th European Conference on Power Electronics and Applications, EPE '09 [5279019]
Cortés, P. ; Wilson, A. ; Kouro, S. ; Rodríguez, J. ; Abu-Rub, H. / Model predictive control of cascaded H-bridge multilevel inverters. 2009 13th European Conference on Power Electronics and Applications, EPE '09. 2009.
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abstract = "This paper presents a Model Predictive Current Control strategy for a multilevel cascaded inverter. A simple discrete model is used to predict the behavior of the system for each possible voltage vector generated by the inverter. The voltage vector that minimizes a cost function is selected and applied during a whole sampling interval. The cost function measures the load current error. Due to the large number of voltage vectors, voltage levels per phase and switching states in a multilevel cascaded inverter, high amount of calculations is needed in order to make predictions. This makes difficult the implementation of this control strategy in a standard control platform. A modified control strategy that considerably reduces the number of calculations is proposed and validated with simulation results using a Cascaded H-Bridge multilevel inverter.",
keywords = "Converter control, Multilevel converters, Non-linear control, Voltage source inverters (VSI)",
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Cortés, P, Wilson, A, Kouro, S, Rodríguez, J & Abu-Rub, H 2009, Model predictive control of cascaded H-bridge multilevel inverters. En 2009 13th European Conference on Power Electronics and Applications, EPE '09., 5279019, 2009 13th European Conference on Power Electronics and Applications, EPE '09, Barcelona, Spain, 8/09/09.

Model predictive control of cascaded H-bridge multilevel inverters. / Cortés, P.; Wilson, A.; Kouro, S.; Rodríguez, J.; Abu-Rub, H.

2009 13th European Conference on Power Electronics and Applications, EPE '09. 2009. 5279019.

Resultado de la investigación: Conference contribution

TY - GEN

T1 - Model predictive control of cascaded H-bridge multilevel inverters

AU - Cortés, P.

AU - Wilson, A.

AU - Kouro, S.

AU - Rodríguez, J.

AU - Abu-Rub, H.

PY - 2009

Y1 - 2009

N2 - This paper presents a Model Predictive Current Control strategy for a multilevel cascaded inverter. A simple discrete model is used to predict the behavior of the system for each possible voltage vector generated by the inverter. The voltage vector that minimizes a cost function is selected and applied during a whole sampling interval. The cost function measures the load current error. Due to the large number of voltage vectors, voltage levels per phase and switching states in a multilevel cascaded inverter, high amount of calculations is needed in order to make predictions. This makes difficult the implementation of this control strategy in a standard control platform. A modified control strategy that considerably reduces the number of calculations is proposed and validated with simulation results using a Cascaded H-Bridge multilevel inverter.

AB - This paper presents a Model Predictive Current Control strategy for a multilevel cascaded inverter. A simple discrete model is used to predict the behavior of the system for each possible voltage vector generated by the inverter. The voltage vector that minimizes a cost function is selected and applied during a whole sampling interval. The cost function measures the load current error. Due to the large number of voltage vectors, voltage levels per phase and switching states in a multilevel cascaded inverter, high amount of calculations is needed in order to make predictions. This makes difficult the implementation of this control strategy in a standard control platform. A modified control strategy that considerably reduces the number of calculations is proposed and validated with simulation results using a Cascaded H-Bridge multilevel inverter.

KW - Converter control

KW - Multilevel converters

KW - Non-linear control

KW - Voltage source inverters (VSI)

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M3 - Conference contribution

AN - SCOPUS:72949116791

SN - 9781424444328

BT - 2009 13th European Conference on Power Electronics and Applications, EPE '09

ER -

Cortés P, Wilson A, Kouro S, Rodríguez J, Abu-Rub H. Model predictive control of cascaded H-bridge multilevel inverters. En 2009 13th European Conference on Power Electronics and Applications, EPE '09. 2009. 5279019