A neural non-linear predictive control for pem-fc.

Abstract EN

This paper deals with the application of non-linear predictive control with neural networks to Proton Exchange Membrane Fuel Cells (PEM-FC).

The control objective is to regulate the cell voltage, acting on the hydrogen pressure, trying to reduce the variation of the input control variable.

An analysis of the non-linearities of the fuel cell stack has been carried out, making use of a suitable fuel cell model.

The non-linear predictive control has been implemented by several neural networks (multi value perceptions), after dividing the operating domain into three areas according to the cell current value (low loads, quasi-linear zone and high loads( Simulation results have been provided and discussed, showing the goodness of the proposed non-linear control technique in reducing the variations of hydrogen pressure.