TY - JFULL AU - M. Sedighizadeh and M. Rezaei and V. Najmi PY - 2011/3/ TI - A Predictive control based on Neural Network for Proton Exchange Membrane Fuel Cell T2 - International Journal of Electrical and Computer Engineering SP - 187 EP - 192 VL - 5 SN - 1307-6892 UR - https://publications.waset.org/pdf/5554 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 50, 2011 N2 - The Proton Exchange Membrane Fuel Cell (PEMFC) control system has an important effect on operation of cell. 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 of temperature. The results of implementation of this designed NN Predictive controller on a dynamic electrochemical model of a small size 5 KW, PEM fuel cell have been simulated by MATLAB/SIMULINK. ER -