Neural-PID Control of Air Pressure in Fuel Cells

Air pressure in proton exchange membrane fuel cells (PEMFC) directly affects fuel cells´ electrochemistry-reactivity performance. It not only related to air flow and air temperature, but also affected by PEMFC output power. In order to make it in a proper value, the paper designed air pressure servo control system which given value was predicted in advance by Elman ANN according to PEMFC output power, air flow and air temperature. Its controller chose neural-PID, and control model adopted identifying ways basing on Elman ANN, and its control variable was fuel cell´s outlet air flow. Simulation result shows that air pressure was adjusted in time by neural-PID with output power changes.