@article{(Open Science Index):https://publications.waset.org/pdf/5554, title = {A Predictive control based on Neural Network for Proton Exchange Membrane Fuel Cell}, author = {M. Sedighizadeh and M. Rezaei and V. Najmi}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Electrical and Computer Engineering}, volume = {5}, number = {2}, year = {2011}, pages = {188 - 192}, ee = {https://publications.waset.org/pdf/5554}, url = {https://publications.waset.org/vol/50}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 50, 2011}, }