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Control of Proton Exchange Membrane Fuel Cell Based on Fuzzy Logic

机译:基于模糊逻辑的质子交换膜燃料电池控制

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This paper presents a control strategy suitable for hydrogen/air proton-exchange membrane fuel cells (PEMFCs), based on the process modeling using fuzzy logic. The control approach is tested using a PEMFC stack consisting of 32 cells with parallel channels. An optimal fuzzy-PI controller is designed to mainly control the hydrogen and air/oxygen mass flows, and auxiliary variables such as the temperature, pressure, humidity of the membrane, and proportion of stoichiometry. The fuzzy logic controller possesses many advantages over the PID controllers, such as a higher performance/cost ratio. It is shown experimentally that the optimal fuzzy-PI controller can improve the voltage and current performance of the system when the load changes.
机译:基于模糊逻辑的过程建模,本文提出了一种适用于氢/空气质子交换膜燃料电池(PEMFC)的控制策略。使用由32个带有并行通道的单元组成的PEMFC堆栈对控制方法进行了测试。最佳模糊PI控制器的设计主要是控制氢气和空气/氧气的质量流量,以及辅助变量,例如温度,压力,膜的湿度和化学计量比。与PID控制器相比,模糊逻辑控制器具有许多优势,例如更高的性能/成本比。实验表明,当负载变化时,最优的模糊PI控制器可以改善系统的电压和电流性能。

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