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Real-time simplified variable universe fuzzy control of PEM fuel cell flow systems

The problem of building an accurate model and the request of real-time control are often simultaneously encountered in the design of control systems. This paper successfully studies and implements a real-time simplified variable universe fuzzy control method in PEM fuel cell flow systems. On the one hand, the method can achieve fine control on the cathode pressure of fuel cell stacks by adjusting the input and output universes. On the other hand, the method can also achieve real-time control by activating at most four control rules, at a time, in the inference process for dual-inputs controller. The experimental results at an idle load and a given load demonstrate good performance of this method. The method can also be used in other similar situations.