DocumentCode :
2249257
Title :
Optimization design of PID controllers for PEMFC with reformer using genetic algorithm
Author :
Chen, Hung-Cheng ; Tzeng, Sin-yuan ; Chen, Po-hung
Author_Institution :
Dept. of Electr. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
Volume :
6
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
2990
Lastpage :
2995
Abstract :
This paper deals with the optimal design of PID controllers for a proton exchange membrane fuel cell (PEMFC). The dynamic model of the PEMFC with reformer is firstly presented. The inlet hydrogen flow is supplied by reformer and the oxygen flow is supplied by air or pure oxygen according to the hydrogen-oxygen flow ratio. The partial pressures of hydrogen and oxygen are then transformed based on the mole conservation principle. Moreover, we design the PID controllers, which are installed for controlling PEMFC and reformer, using genetic algorithm (GA) to achieve better transient and steady-state performances of PEMFC.
Keywords :
genetic algorithms; proton exchange membrane fuel cells; three-term control; PEMFC; PID controllers; air; genetic algorithm; hydrogen-oxygen flow ratio; optimization design; proton exchange membrane fuel cell; pure oxygen; reformer; Anodes; Biomembranes; Cathodes; Equations; Fuel cells; Mathematical model; Optimization; Genetic algorithm; PEMFC; PID; Reformer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5580735
Filename :
5580735
Link To Document :
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