Title :
Using Artificial Neural Network to Control the Temperature of Fuel Cell
Author :
Li, Yanjun ; Wang, Houjun ; Dai, Zhijian
Author_Institution :
Coll. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
In this paper, a method using artificial neural network (ANN) to control the temperature of proton exchange membrane fuel cell (PEMFC) was described. Its superiority over the traditional PID control method in PEMFC temperature control was approved by the experiment results
Keywords :
neural nets; proton exchange membrane fuel cells; temperature control; PEMFC; artificial neural network; proton exchange membrane fuel cell; temperature control; Artificial neural networks; Automatic control; Biomembranes; Cathodes; Fuel cells; Hydrogen; Protons; Temperature control; Three-term control; Water heating;
Conference_Titel :
Communications, Circuits and Systems Proceedings, 2006 International Conference on
Conference_Location :
Guilin
Print_ISBN :
0-7803-9584-0
Electronic_ISBN :
0-7803-9585-9
DOI :
10.1109/ICCCAS.2006.284926
