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 original | English |
|---|---|
| Título de la publicación alojada | ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings |
| Editorial | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (versión digital) | 9781509007370 |
| DOI | |
| Estado | Published - 1 ene 2016 |
| Evento | 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 - Milwaukee, United States Duración: 18 sep 2016 → 22 sep 2016 |
Other
| Other | 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 |
|---|---|
| País | United States |
| Ciudad | Milwaukee |
| Período | 18/09/16 → 22/09/16 |
Huella dactilar
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Energy Engineering and Power Technology
- Control and Optimization
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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
TY - GEN
T1 - Improved steady state behavior of finite control set model predictive control applied to a flying capacitor converter
AU - Norambuena, Margarita
AU - Lezana, Pablo
AU - Rodriguez, Jose
PY - 2016/1/1
Y1 - 2016/1/1
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.
UR - http://www.scopus.com/inward/record.url?scp=85015376086&partnerID=8YFLogxK
U2 - 10.1109/ECCE.2016.7855193
DO - 10.1109/ECCE.2016.7855193
M3 - Conference contribution
AN - SCOPUS:85015376086
BT - ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -