TY - JFULL AU - M. Sedighizadeh and A. Rezazadeh PY - 2007/1/ TI - A Neuro Adaptive Control Strategy for Movable Power Source of Proton Exchange Membrane Fuel Cell Using Wavelets T2 - International Journal of Energy and Power Engineering SP - 1821 EP - 1826 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/9676 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 12, 2007 N2 - Movable power sources of proton exchange membrane fuel cells (PEMFC) are the important research done in the current fuel cells (FC) field. The PEMFC system control influences the cell performance greatly and it is a control system for industrial complex problems, due to the imprecision, uncertainty and partial truth and intrinsic nonlinear characteristics of PEMFCs. In this paper an adaptive PI control strategy using neural network adaptive Morlet wavelet for control is proposed. It is based on a single layer feed forward neural networks with hidden nodes of adaptive morlet wavelet functions controller and an infinite impulse response (IIR) recurrent structure. The IIR is combined by cascading to the network to provide double local structure resulting in improving speed of learning. The proposed method is applied to a typical 1 KW PEMFC system and the results show the proposed method has more accuracy against to MLP (Multi Layer Perceptron) method. ER -