文献类型：期刊文献

英文题名：Output Tracking Control of a Hydrogen-air PEM Fuel Cell

作者：Tong, Shiwen[1];Fang, Jianjun[1];Zhang, Yinong[1]

通讯作者：Tong, SW[1]

机构：[1]Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

年份：2017

卷号：4

期号：2

起止页码：273-279

外文期刊名：IEEE-CAA JOURNAL OF AUTOMATICA SINICA

收录：;EI(收录号：20171603587873);Scopus(收录号：2-s2.0-85017624985);WOS:【SCI-EXPANDED(收录号:WOS:000413516400014)】；

基金：This work was partially supported by the Science and Technology Program of Beijing Municipal Education Commission (KM201611417009), the Project of Beijing Municipal Natural Science Foundation (4142018), and the Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions (CIT&TCD20150314).

语种：英文

外文关键词：Fuel cell; fuzzy cluster modeling; integral compensation; sliding mode control

摘要：Hydrogen-air proton exchange membrane (PEM) fuel cell is a promising clean energy. However, the stack output tracking control is still a challenging problem due to the soft characteristic of the stack. Both over-and less-control will cause the stack flooding or oxygen lacking which dramatically decreases the life of stacks. Traditional control methods rely on the accurate model of the fuel cell system, which is a high-order nonlinear system, and involve a complex controller design process. This paper combines the data-based fuzzy cluster modeling technology with the sliding mode control and the integral actions. The sliding mode controller tracks the dynamic changes of the fuel cell system and the integral controller eliminates the steady-state errors. Simulation results demonstrate good performance of the proposed control method.