Abstract—The PEMFC control system influences the cell performance greatly. Traditional controllers couldn’t lead to acceptable responses because of time- change, long- hysteresis, uncertainty, strong- coupling and nonlinear characteristics of PEMFCs, So an intelligent or adaptive controller is needed. In this paper a neural network predictive controller have been designed to control the voltage of at the presence of fluctuations. The results of implementation of this designed NN Predictive controller on a dynamic electrochemical model of a small size 500 W, PEM fuel cell have been simulated by MATLAB SIMUlINK and compared with a traditional PID controller.

Index Terms—fuel cell, PEMFC, neural network, model predictive control.

A.Rezazade is with the Department of Electrical and Computer Engineering, Shahid Beheshti University, G.C, Evin, Tehran,Iran,1983963113 (corresponding author to providephone:+982177538160;fax:+982177538161;e-mail:a-rezazade@sbu.ac.ir,alireza.rezazade@gmail.com.)
M. Sedighizadeh is with the Department of Electrical and Computer Engineering, Shahid Beheshti University, G.C, Evin, Tehran,Iran,1983963113, m_sedighi@sbu.ac.ir.
M.Karimi is with the Department of Electrical and Computer Engineering, Shahid Beheshti University, G.C, Evin, Tehran,Iran,1983963113.mi.karimi@mail.sbu.ac.ir.

Cite: A. Rezazadeh, M. Sedighizadeh and M. Karimi, "Proton Exchange Membrane Fuel Cell Control Using a Predictive Control Based on Neural Network," International Journal of Computer and Electrical Engineering vol. 2, no. 1, pp. 81-85, 2010.