Abstract
Feed-forward and feedback control is developed in this work for PEM fuel cell stacks. The feed-forward control is achieved using different methods including look-up table, fuzzy logic and neural network, to improve the regulation of fuel cell stack breathing and avoid the problem of oxygen starvation. Firstly, the feed-forward controller is used to generate directly an input voltage of the air compressor according to the current demand. Then, a PID feedback controller is used to adjust the difference between the requested and the actual oxygen ratio by compensating the feed-forward controller output. The designed systems are evaluated using a benchmark of non-linear simulation of fuel cell stacks. The proposed feed-forward controllers with PID feedback control all achieved a good control performance. The simulations showed the effectiveness of the control strategies. By comparison, it is concluded that the neural network feed-forward controller gave the minimal response to disturbances.
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