自然科学版 英文版
自然科学版 英文版
自然科学版 英文版

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中南大学学报(英文版)

Journal of Central South University

Vol. 14    No. 1    February 2007

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Neural network modeling and control of proton exchange membrane fuel cell
CHEN Yue-hua(陈跃华), CAO Guang-yi(曹广益), ZHU Xin-jian(朱新坚)

Department of Automation, Shanghai Jiaotong University, Shanghai 200030, China

Abstract:A neural network model and fuzzy neural network controller was designed to control the inner impedance of a proton exchange membrane fuel cell (PEMFC) stack. A radial basis function (RBF) neural network model was trained by the input−output data of impedance. A fuzzy neural network controller was designed to control the impedance response. The RBF neural network model was used to test the fuzzy neural network controller. The results show that the RBF model output can imitate actual output well, the maximal error is not beyond 20 mΩ, the training time is about 1 s by using 20 neurons, and the mean squared errors is 141.9 mΩ2. The impedance of the PEMFC stack is controlled within the optimum range when the load changes, and the adjustive time is about 3 min.

 

Key words: proton exchange membrane fuel cell; radial basis function neural network; fuzzy neural network

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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