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Identification and control of power converters by means of neural networks

Author
Leyva, R.; Martínez, L.; Jammes, B.; Marpinard, J.; Guinjoan, F.
Type of activity
Journal article
Journal
IEEE transactions on circuits and systems I: regular papers
Date of publication
1997-08
Volume
44
Number
8
First page
735
Last page
742
DOI
https://doi.org/10.1109/81.611270 Open in new window
URL
http://ieeexplore.ieee.org/document/611270/ Open in new window
Abstract
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...
Keywords
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
Group of research
EPIC - Energy Processing and Integrated Circuits
PERC-UPC - Power Electronics Research Centre

Participants

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