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SPECIAL ISSUE RESEARCH PAPERS

Dynamic Test and Real-time Control Platform of Anode Recirculation for PEM Fuel Cell Systems

[+] Author and Article Information
Cheng Bao

State Key Laboratory of Automotive Safety and Energy, Tsinghua University, 100084, P.R.Chinabc01@mails.tsinghua.edu.cn

Kexun Zhang, Minggao Ouyang

State Key Laboratory of Automotive Safety and Energy, Tsinghua University, 100084, P.R.China

Baolian Yi, Pingwen Ming

 Dalian Institute of Chemical Physics, CAS, Dalian, 116023, P.R.China

J. Fuel Cell Sci. Technol 3(3), 333-345 (Feb 21, 2006) (13 pages) doi:10.1115/1.2217956 History: Received July 14, 2005; Revised February 21, 2006

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.

Copyright © 2006 by American Society of Mechanical Engineers
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References

Figures

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Figure 1

Picture of a Chinese fuel cell city bus

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Figure 2

Configuration of a typical pure-hydrogen high-pressure PEMFCS with anode recirculation

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Figure 3

Configuration of the anode recirculation of FCS in Chinese fuel cell city bus

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Figure 4

Configuration of the test and control platform

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Figure 5

The miniature of an injection pump with expansion section

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Figure 6

The assembly sketch of the home-made injection pump

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Figure 7

The portrait of the platform

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Figure 8

Influence of the flow resistance of the flowmeter on the hydrogen injection coefficient of the injector

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Figure 9

The configuration of MATLAB/xPC Target environment

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Figure 10

The full-order model in MATLAB/Simulink

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Figure 11

The validation of the full-order and reduced-order model by comparing the step response of the pumping flow pressure and the compressed flow pressure with the experiments

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Figure 12

The configuration of the observer (OBS)-based state-feedback (SFB) linear controller

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Figure 13

The snapshot of real-time pressure tracking of the linear controller in the xPC Target environment

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Figure 14

The configuration of the adaptive fuzzy neural network controller (FNNC) with an on-line neural network identifier (NN plant)

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Figure 15

The structure of the neural network identifier with a hidden layer and an output layer

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Figure 16

The structure of the fuzzy neural network controller

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Figure 17

The snapshot of real-time pressure tracking of the nonlinear controller in the xPC Target environment

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