TY - JOUR
T1 - Performance Comparison of Numerical Methods in a Predictive Controller for an AC–DC Power Converter
AU - Ramirez-Hernandez, Jazmin
AU - Juarez-Sandoval, Oswaldo Ulises
AU - Hernandez-Gonzalez, Leobardo
AU - Cortes, Domingo
AU - Sanchez-Garcia, Juan C.
AU - Guevara-Lopez, Pedro
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2022/8
Y1 - 2022/8
N2 - The use of model-based predictive control in power converters has substantially increased in recent years. This control technique always needs a discrete system model to be implemented. There are several methods to obtain a discrete model; in this paper, all common methods are examined from a practical point of view. Their precision, simplicity, and implementation requirements are analyzed to establish their advantages and disadvantages. From this analysis, it is shown that different discretization methods result in different closed-loop converter performance. A model-based predictive control AC–DC converter is used to show that different discretization procedures result in different total harmonic distortion. For this evaluation, a simulation of a 1 kW three-phase active rectifier was performed in Matlab-Simulink.
AB - The use of model-based predictive control in power converters has substantially increased in recent years. This control technique always needs a discrete system model to be implemented. There are several methods to obtain a discrete model; in this paper, all common methods are examined from a practical point of view. Their precision, simplicity, and implementation requirements are analyzed to establish their advantages and disadvantages. From this analysis, it is shown that different discretization methods result in different closed-loop converter performance. A model-based predictive control AC–DC converter is used to show that different discretization procedures result in different total harmonic distortion. For this evaluation, a simulation of a 1 kW three-phase active rectifier was performed in Matlab-Simulink.
KW - AC–DC converter
KW - active filter
KW - discrete model
KW - predictive control
UR - http://www.scopus.com/inward/record.url?scp=85136816870&partnerID=8YFLogxK
U2 - 10.3390/math10152818
DO - 10.3390/math10152818
M3 - Artículo
AN - SCOPUS:85136816870
SN - 2227-7390
VL - 10
JO - Mathematics
JF - Mathematics
IS - 15
M1 - 2818
ER -