Improved steady state behavior of finite control set model predictive control applied to a flying capacitor converter

Margarita Norambuena, Pablo Lezana, Jose Rodriguez

Resultado de la investigación: Conference contribution

4 Citas (Scopus)

Resumen

Finite Control Set Model Predictive Control (FCS-MPC) allows to deal with non-linearities of the system and obtain a fast dynamic response. Therefore FCS-MPC is a good alternative to govern complex power converters or when fast transient operation is required. The main drawback of FCS-MPC is the performance obtained during the steady state, the main reason resides in the poor temporal resolution of FCS-MPC and the mismatch of the model parameters. This paper presents a new way to implement FCS-MPC to correct the mismatch in the model parameters and achieve a better performance in steady state. This is achieved through the incorporation of the past error in the action of the control, adding an additional term in the cost function with a variable weighting factor.

Idioma originalEnglish
Título de la publicación alojadaECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781509007370
DOI
EstadoPublished - 1 ene 2016
Evento2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 - Milwaukee, United States
Duración: 18 sep 201622 sep 2016

Other

Other2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016
PaísUnited States
CiudadMilwaukee
Período18/09/1622/09/16

Huella dactilar

Control Sets
Model predictive control
Model Predictive Control
Capacitor
Converter
Finite Set
Capacitors
Power Converter
Dynamic Response
Power converters
Weighting
Cost Function
Cost functions
Dynamic response
Nonlinearity
Alternatives
Term
Model

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Control and Optimization

Citar esto

Norambuena, M., Lezana, P., & Rodriguez, J. (2016). Improved steady state behavior of finite control set model predictive control applied to a flying capacitor converter. En ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings [7855193] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2016.7855193
Norambuena, Margarita ; Lezana, Pablo ; Rodriguez, Jose. / Improved steady state behavior of finite control set model predictive control applied to a flying capacitor converter. ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016.
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Norambuena, M, Lezana, P & Rodriguez, J 2016, Improved steady state behavior of finite control set model predictive control applied to a flying capacitor converter. En ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings., 7855193, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016, Milwaukee, United States, 18/09/16. https://doi.org/10.1109/ECCE.2016.7855193

Improved steady state behavior of finite control set model predictive control applied to a flying capacitor converter. / Norambuena, Margarita; Lezana, Pablo; Rodriguez, Jose.

ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7855193.

Resultado de la investigación: Conference contribution

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AU - Norambuena, Margarita

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AU - Rodriguez, Jose

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N2 - Finite Control Set Model Predictive Control (FCS-MPC) allows to deal with non-linearities of the system and obtain a fast dynamic response. Therefore FCS-MPC is a good alternative to govern complex power converters or when fast transient operation is required. The main drawback of FCS-MPC is the performance obtained during the steady state, the main reason resides in the poor temporal resolution of FCS-MPC and the mismatch of the model parameters. This paper presents a new way to implement FCS-MPC to correct the mismatch in the model parameters and achieve a better performance in steady state. This is achieved through the incorporation of the past error in the action of the control, adding an additional term in the cost function with a variable weighting factor.

AB - Finite Control Set Model Predictive Control (FCS-MPC) allows to deal with non-linearities of the system and obtain a fast dynamic response. Therefore FCS-MPC is a good alternative to govern complex power converters or when fast transient operation is required. The main drawback of FCS-MPC is the performance obtained during the steady state, the main reason resides in the poor temporal resolution of FCS-MPC and the mismatch of the model parameters. This paper presents a new way to implement FCS-MPC to correct the mismatch in the model parameters and achieve a better performance in steady state. This is achieved through the incorporation of the past error in the action of the control, adding an additional term in the cost function with a variable weighting factor.

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Norambuena M, Lezana P, Rodriguez J. Improved steady state behavior of finite control set model predictive control applied to a flying capacitor converter. En ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7855193 https://doi.org/10.1109/ECCE.2016.7855193