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CLC number: TK01

On-line Access: 2008-03-06

Received: 2007-10-28

Revision Accepted: 2007-12-25

Crosschecked: 0000-00-00

Cited: 7

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Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE A 2008 Vol.9 No.5 P.688~694

http://doi.org/10.1631/jzus.A071569


SOFC temperature evaluation based on an adaptive fuzzy controller


Author(s):  Xiao-juan WU, Xin-jian ZHU, Guang-yi CAO, Heng-yong TU

Affiliation(s):  Institute of Fuel Cell, Department of Automation, Shanghai Jiao Tong University, Shanghai 200030, China

Corresponding email(s):   xj_wu@sjtu.edu.cn

Key Words:  Solid oxide fuel cell (SOFC), Temperature control, Adaptive fuzzy controller, Affine temperature model


Xiao-juan WU, Xin-jian ZHU, Guang-yi CAO, Heng-yong TU. SOFC temperature evaluation based on an adaptive fuzzy controller[J]. Journal of Zhejiang University Science A, 2008, 9(5): 688~694.

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author="Xiao-juan WU, Xin-jian ZHU, Guang-yi CAO, Heng-yong TU",
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%A Xin-jian ZHU
%A Guang-yi CAO
%A Heng-yong TU
%J Journal of Zhejiang University SCIENCE A
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A071569

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T1 - SOFC temperature evaluation based on an adaptive fuzzy controller
A1 - Xiao-juan WU
A1 - Xin-jian ZHU
A1 - Guang-yi CAO
A1 - Heng-yong TU
J0 - Journal of Zhejiang University Science A
VL - 9
IS - 5
SP - 688
EP - 694
%@ 1673-565X
Y1 - 2008
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A071569


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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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