Journal of Zhejiang University SCIENCE A
ISSN 1673-565X(Print), 1862-1775(Online), Monthly

2008   Vol. 9   No. 5   p. 688~694

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)
^†E-mail: xj_wu@sjtu.edu.cn
Received Oct. 28, 2007; revision accepted Dec. 25, 2007; published online Mar. 6, 2008

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
doi:10.1631/jzus.A071569             CLC number: TK01

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