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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2008, Vol. 9 Issue (5): 688-694    DOI: 10.1631/jzus.A071569
Energy & Environmental Engineering     
SOFC temperature evaluation based on an adaptive fuzzy controller
Xiao-juan WU, Xin-jian ZHU, Guang-yi CAO, Heng-yong TU
Institute of Fuel Cell, Department of Automation, Shanghai Jiao Tong University, Shanghai 200030, China
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Abstract  The operating temperature of a solid oxide fuel cell (SOFC) stack is a very important parameter to be controlled, which impacts the performance of the SOFC due to thermal cycling. In this paper, an adaptive fuzzy control method based on an affine nonlinear temperature model is developed to control the temperature of the SOFC within a specified range. Fuzzy logic systems are used to approximate nonlinear functions in the SOFC system and an adaptive technique is employed to construct the controller. Compared with the traditional fuzzy and proportion-integral-derivative (PID) control, the simulation results show that the designed adaptive fuzzy control method performed much better. So it is feasible to build an adaptive fuzzy controller for temperature control of the SOFC.

Key words： Solid oxide fuel cell (SOFC)      Temperature control      Adaptive fuzzy controller      Affine temperature model     
Received: 28 October 2007      Published: 06 March 2008
CLC:  TK01  
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Xiao-juan WU
Xin-jian ZHU
Guang-yi CAO
Heng-yong TU
Cite this article:

Xiao-juan WU, Xin-jian ZHU, Guang-yi CAO, Heng-yong TU. SOFC temperature evaluation based on an adaptive fuzzy controller. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(5): 688-694.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A071569     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2008/V9/I5/688

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