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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2007, Vol. 8 Issue (12): 1921-1927    DOI: 10.1631/jzus.2007.A1921
Electrical & Electronic Engineering     
Iterative learning control of SOFC based on ARX identification model
HUO Hai-bo, ZHU Xin-jian, TU Heng-yong
Fuel Cell Research Institute, Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
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Abstract  This paper presents an application of iterative learning control (ILC) technique to the voltage control of solid oxide fuel cell (SOFC) stack. To meet the demands of the control system design, an autoregressive model with exogenous input (ARX) is established. Firstly, by regulating the variation of the hydrogen flow rate proportional to that of the current, the fuel utilization of the SOFC is kept within its admissible range. Then, based on the ARX model, three kinds of ILC controllers, i.e. P-, PI- and PD-type are designed to keep the voltage at a desired level. Simulation results demonstrate the potential of the ARX model applied to the control of the SOFC, and prove the excellence of the ILC controllers for the voltage control of the SOFC.

Key words： Autoregressive model with exogenous input (ARX)      Iterative learning control (ILC)      Solid oxide fuel cell (SOFC)      Identification     
Received: 30 July 2007     
CLC:  TP273  
  TM911.4  
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HUO Hai-bo
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TU Heng-yong
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HUO Hai-bo, ZHU Xin-jian, TU Heng-yong. Iterative learning control of SOFC based on ARX identification model. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(12): 1921-1927.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2007.A1921     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2007/V8/I12/1921

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