TY - GEN
T1 - Artificial Neural Network Based on a Predictive Current Control in a DC-DC Buck Converter
AU - Ramirez-Hernandez, Jazmin
AU - Hernandez-Gonzalez, Leobardo
AU - Juarez-Sandoval, Oswaldo Ulises
AU - Garcia-Fernandez, Jose Pablo
AU - Bote-Vazquez, Marcos Yair
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Predictive control is a modern control strategy used in power converters that include switching devices in its topologies; is simple to understand and easy to be implemented, however, if the converter has to many operating modes the procedure may demand high computational requirements for high switching frequencies. This paper presents the inclusion of an artificial neural network in the controller, the predictive controller is used during the training phase and once the neural network is fine-tuned it can operate without the predictive control algorithm, minimizing the computational cost. The algorithm is validated by simulation results in Matlab-Simulink in a current control for a Buck converter.
AB - Predictive control is a modern control strategy used in power converters that include switching devices in its topologies; is simple to understand and easy to be implemented, however, if the converter has to many operating modes the procedure may demand high computational requirements for high switching frequencies. This paper presents the inclusion of an artificial neural network in the controller, the predictive controller is used during the training phase and once the neural network is fine-tuned it can operate without the predictive control algorithm, minimizing the computational cost. The algorithm is validated by simulation results in Matlab-Simulink in a current control for a Buck converter.
KW - Artificial Neural Network
KW - Buck Converter
KW - Predictive Control
KW - current control
UR - http://www.scopus.com/inward/record.url?scp=85124967869&partnerID=8YFLogxK
U2 - 10.1109/ROPEC53248.2021.9668133
DO - 10.1109/ROPEC53248.2021.9668133
M3 - Contribución a la conferencia
AN - SCOPUS:85124967869
T3 - 2021 23rd IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2021
BT - 2021 23rd IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2021
Y2 - 10 November 2021 through 12 November 2021
ER -