Resumen
The matrix converter (MC) is a promising converter that performs the direct AC-to-AC conversion. Model predictive control (MPC) is a simple and powerful tool for power electronic converters, including the MC. However, weighting factor design and heavy computational burden impose significant challenges for this control strategy. This paper investigates the generalized sequential MPC (SMPC) for a three-phase direct MC. In this control strategy, each control objective has an individual cost function and these cost functions are evaluated sequentially based on priority. The complex weighting factor design process is not required. Compared with the standard MPC, the computation burden is reduced because only the pre-selected switch states are evaluated in the second and subsequent sequential cost functions. In addition, the prediction model computation for the following cost functions is also reduced. Specifying the priority for control objectives can be achieved. A comparative study with traditional MPC is carried out both in simulation and an experiment. Comparable control performance to the traditional MPC is achieved. This controller is suitable for the MC because of the reduced computational burden. Simulation and experimental results verify the effectiveness of the proposed strategy.
| Idioma original | English |
|---|---|
| Número de artículo | 214 |
| Publicación | Energies |
| Volumen | 12 |
| N.º | 2 |
| DOI | |
| Estado | Published - 10 ene 2019 |
Huella dactilar
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology
- Energy (miscellaneous)
- Control and Optimization
- Electrical and Electronic Engineering
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Sequential model predictive control of three-phase direct matrix converter. / Zhang, Jianwei; Norambuena, Margarita; Li, Li; Dorrell, David; Rodriguez, Jose.
En: Energies, Vol. 12, N.º 2, 214, 10.01.2019.Resultado de la investigación: Article
TY - JOUR
T1 - Sequential model predictive control of three-phase direct matrix converter
AU - Zhang, Jianwei
AU - Norambuena, Margarita
AU - Li, Li
AU - Dorrell, David
AU - Rodriguez, Jose
PY - 2019/1/10
Y1 - 2019/1/10
N2 - The matrix converter (MC) is a promising converter that performs the direct AC-to-AC conversion. Model predictive control (MPC) is a simple and powerful tool for power electronic converters, including the MC. However, weighting factor design and heavy computational burden impose significant challenges for this control strategy. This paper investigates the generalized sequential MPC (SMPC) for a three-phase direct MC. In this control strategy, each control objective has an individual cost function and these cost functions are evaluated sequentially based on priority. The complex weighting factor design process is not required. Compared with the standard MPC, the computation burden is reduced because only the pre-selected switch states are evaluated in the second and subsequent sequential cost functions. In addition, the prediction model computation for the following cost functions is also reduced. Specifying the priority for control objectives can be achieved. A comparative study with traditional MPC is carried out both in simulation and an experiment. Comparable control performance to the traditional MPC is achieved. This controller is suitable for the MC because of the reduced computational burden. Simulation and experimental results verify the effectiveness of the proposed strategy.
AB - The matrix converter (MC) is a promising converter that performs the direct AC-to-AC conversion. Model predictive control (MPC) is a simple and powerful tool for power electronic converters, including the MC. However, weighting factor design and heavy computational burden impose significant challenges for this control strategy. This paper investigates the generalized sequential MPC (SMPC) for a three-phase direct MC. In this control strategy, each control objective has an individual cost function and these cost functions are evaluated sequentially based on priority. The complex weighting factor design process is not required. Compared with the standard MPC, the computation burden is reduced because only the pre-selected switch states are evaluated in the second and subsequent sequential cost functions. In addition, the prediction model computation for the following cost functions is also reduced. Specifying the priority for control objectives can be achieved. A comparative study with traditional MPC is carried out both in simulation and an experiment. Comparable control performance to the traditional MPC is achieved. This controller is suitable for the MC because of the reduced computational burden. Simulation and experimental results verify the effectiveness of the proposed strategy.
KW - Matrix converter (MC)
KW - Model predictive control (MPC)
KW - Sequential model predictive control (SMPC)
KW - Weighting factors
UR - http://www.scopus.com/inward/record.url?scp=85060516014&partnerID=8YFLogxK
U2 - 10.3390/en12020214
DO - 10.3390/en12020214
M3 - Article
AN - SCOPUS:85060516014
VL - 12
JO - Energies
JF - Energies
SN - 1996-1073
IS - 2
M1 - 214
ER -