Artificial neural networks based fuzzy control of proton exchange membrane fuel cells

被引：0

作者：

Tian Yu-dong ^{[1
]}

Zhu Xin-jian ^{[1
]}

Cao Guang-yi ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Fuel Cell Res Inst, Shanghai 200030, Peoples R China

来源：

PROCEEDINGS OF 2005 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1 AND 2 | 2005年

关键词：

proton exchange membrane fuel cell; fuzzy control; artificial neural networks; identification;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The system control of PEMFC is researched through using multi-variables fuzzy control theory in the view of technology application, and then the online identification of the artificial neural network (ANN) is applied, finally, ANN identification based fuzzy control system of PEMFC is presented to solve effectively the PEMFC system control problems caused by time-change, long-hysteresis, uncertainty and strong-coupling. The computer simulation indicates that it is reasonable and effective, and meets its require of system control characteristic.

引用

页码：1116 / 1120

页数：5

共 8 条

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