Fuel Cell Voltage Control using neural network based on model predictive control

in this paper, a neural network based model predictive control (NNMPC) algorithm was implemented to control the voltage of a proton exchange membrane fuel cell(PEMFC). In this approach, a neural network model is trained to predict the future process response over the specified horizon.The predictions are passed to a numerical optimization routinewhich attempts to minimize a specified cost function to calculate a suitable control signal at each sample instant. The performance results of the NNMPC were compared with a fuzzy controller

کلیدواژه ها:

PEMFC ، Fuzzy Controller ، NNMPC Controller ، Neural Network