TY - JFULL AU - E. Shahsavari and R. Ghasemi and A. Akramizadeh PY - 2014/12/ TI - Optimal Feedback Linearization Control of PEM Fuel Cell T2 - International Journal of Energy and Power Engineering SP - 1735 EP - 1742 VL - 8 SN - 1307-6892 UR - https://publications.waset.org/pdf/9999719 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 95, 2014 N2 - This paper presents a new method to design nonlinear feedback linearization controller for PEMFCs (Polymer Electrolyte Membrane Fuel Cells). A nonlinear controller is designed based on nonlinear model to prolong the stack life of PEMFCs. Since it is known that large deviations between hydrogen and oxygen partial pressures can cause severe membrane damage in the fuel cell, feedback linearization is applied to the PEMFC system so that the deviation can be kept as small as possible during disturbances or load variations. To obtain an accurate feedback linearization controller, tuning the linear parameters are always important. So in proposed study NSGA (Non-Dominated Sorting Genetic Algorithm)-II method was used to tune the designed controller in aim to decrease the controller tracking error. The simulation result showed that the proposed method tuned the controller efficiently. ER -