Dynamic test and real-time control platform of anode recirculation for PEM fuel cell systems

被引:15
作者
Bao, Cheng [1 ]
Zhang, Kexun
Ouyang, Minggao
Yi, Baolian
Ming, Pingwen
机构
[1] Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China
[2] Chinese Acad Sci, Dalian Inst Chem Phys, Dalian 116023, Peoples R China
来源
JOURNAL OF FUEL CELL SCIENCE AND TECHNOLOGY | 2006年 / 3卷 / 03期
关键词
PEMFC; real-time platform; anode recirculation; LQG; fuzzy; neural network;
D O I
10.1115/1.2217956
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
Anode recirculation is essential to the pure-hydrogen proton exchange membrane fuel cell system. Keeping the pressure difference between the anode and the cathode is also important to the membrane health. In this paper a dynamic platform was designed for the recirculation test of injection pump and real-time control of the anode pressure tracking. The test bench can work in a wide range of conditions for high- and low-pressure application. Based on the MATLAB/xPC Target environment, some S functions were written to drive the PC board for the hardware-in-loop application. Then an analytical full-order and a reduced-order model were built with good accuracy. By linearization of the nonlinear dynamic model, a linear quadratic Gaussian algorithm based on state feedback was used for set-point tracking. Moreover an adaptive fuzzy neural network with an on-line neural network identifier was also designed to improve the control robustness. The foundation of the test bench and realization of the real-time control algorithms are meaningful to the future application in fuel cell systems.
引用
收藏
页码:333 / 345
页数:13
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