CIFASIS   20631
CENTRO INTERNACIONAL FRANCO ARGENTINO DE CIENCIAS DE LA INFORMACION Y DE SISTEMAS
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
SVM-based Identification of the Air Supply System in a Polymer Electrolyte Membrane Fuel Cell
Autor/es:
GÓMEZ, JUAN CARLOS; FEROLDI, DIEGO
Lugar:
Bariloche
Reunión:
Congreso; XV Reunión de Trabajo en Procesamiento de la Información y Control (RPIC2013); 2013
Institución organizadora:
RPIC
Resumen:
Polymer Electrolyte Membrane Fuel Cells (PEMFC) are efficient devices for electricity production. In this type of fuel cell devices, the performance of the air supply system is fundamental to improve their efficiency. An accurate mathematical model representing the air filling dynamics for a wide range of operating points is then necessary for control design and analysis. In this paper, a new Wiener model identification method based on Support Vector Regression is introduced and used to obtain a simplified model for the air supply systemin a PEMFC. Simulation results are presented to illustrate the performance of the proposed identification method.