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Adaptive inverse control of air supply flow for proton exchange membrane fuel cell systems |
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| Authors: | Chun-hua Li Xin-jian Zhu Sheng Sui Wan-qi Hu Ming-ruo Hu |
| Institution: | 1. Fuel Cell Research Institute, Shanghai Jiao Tong University, Shanghai 200240, P. R. China 2. Fuel Cell Research Institute, Shanghai Jiao Tong University, Shanghai 200240, P. R. China;Hebei Provincial Key Laboratory of Fuel Cells, Langfang 065000, Hebei, P. R. China 3. Hebei Provincial Key Laboratory of Fuel Cells, Langfang 065000, Hebei, P. R. China;Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100080, P. R. China |
| Abstract: | To prevent the oxygen starvation and improve the system output performance, an adaptive inverse control (AIC) strategy is developed to regulate the air supply flow of a proton exchange membrane fuel cell (PEMFC) system in this paper.The PEMFC stack and the air supply system including a compressor and a supply manifold are modeled for the purpose of performance analysis and controller design. A recurrent fuzzy neural network (RFNN) is utilized to identify the inverse model of the controlled system and generates a suitable control input during the abrupt step change of external disturbances. Compared with the PI controller, numerical simulations are performed to validate the effectiveness and advantages of the proposed AIC strategy. |
| Keywords: | proton exchange membrane fuel cell (PEMFC) air supply system compressor adaptive inverse control (AIC) recurrent fuzzy neural network (RFNN) |
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