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Identification and control of power converters by means of neural networks

Autor
Leyva, R.; Martínez, L.; Jammes, B.; Marpinard, J.; Guinjoan, F.
Tipus d'activitat
Article en revista
Revista
IEEE transactions on circuits and systems I: regular papers
Data de publicació
1997-08
Volum
44
Número
8
Pàgina inicial
735
Pàgina final
742
DOI
https://doi.org/10.1109/81.611270 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/document/611270/ Obrir en finestra nova
Resum
This paper investigates the use of neural networks for identification and control of power converters. A nonparametric model of a dc-to-dc switching converter implemented by means of a neural network emulator identifies the converter dynamics in cases of uncertainty in the load parameter. A pseudo-linearization control technique resulting in converter regulation and closed-loop linear dynamic behavior is also implemented by means of a neural controller. Simulation results in a PWM boost converte...
Paraules clau
Closed-loop linear dynamics, Control, DC-to-DC switching converter, Emulator, Identification, Large-signal operation, Load parameter uncertainty, Neural controller, Neural network, Nonparametric model, Power converter, Pseudo-linearization, Regulation, Simulation
Grup de recerca
EPIC - Energy Processing and Integrated Circuits
PERC-UPC - Centre de Recerca d'Electrònica de Potència UPC

Participants

  • Leyva, Ramon  (autor)
  • Martínez Salamero, Luis  (autor)
  • Jammes, B  (autor)
  • Marpinard, J C  (autor)
  • Guinjoan Gispert, Francisco  (autor)