Identification and novel adaptive fuzzy control of nonlinear system for PEMFC stack

被引：2

作者：

卫东 ^{[1
]}

许宏 ^{[1
]}

朱新坚 ^{[2
]}

机构：

[1] College of Metrological Technology & Engineering, China Jiliang University, Hangzhou , China

[2] Institute of Fuel Cell, Dept of Automation, Shanghai Jiaotong University, Shanghai , China

来源：

Journal of Harbin Institute of Technology | 2006年 / 02期

关键词：

D O I：

暂无

中图分类号：

TM911.4 [燃料电池];

学科分类号：

080811 [新能源发电与电能存储];

摘要：

The operating temperature of a proton exchange membrane fuel cell stack is a very important control parameter. It should be controlled within a specific range, however, most of existing PEMFC mathematical models are too complicated to be effectively applied to on-line control. In this paper, input-output data and operating experiences will be used to establish PEMFC stack model and operating temperature control system. An adaptive learning algorithm and a nearest-neighbor clustering algorithm are applied to regulate the parameters and fuzzy rules so that the model and the control system are able to obtain higher accuracy. In the end, the simulation and the experimental results are presented and compared with traditional PID and fuzzy control algorithms.

引用

页码：186 / 192

页数：7