Shan-Jen Cheng and Te-Jen Chang and Kuang-Hsiung Tan and Shou-Ling Kuo
Nonlinear Modeling of the PEMFC Based On NNARX Approach
1211 - 1215
2015
9
5
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/10001431
https://publications.waset.org/vol/101
World Academy of Science, Engineering and Technology
Polymer Electrolyte Membrane Fuel Cell (PEMFC) is
such a timevary nonlinear dynamic system. The traditional linear
modeling approach is hard to estimate structure correctly of PEMFC
system. From this reason, this paper presents a nonlinear modeling of
the PEMFC using Neural Network Autoregressive model with
eXogenous inputs (NNARX) approach. The multilayer perception
(MLP) network is applied to evaluate the structure of the NNARX
model of PEMFC. The validity and accuracy of NNARX model are
tested by one step ahead relating output voltage to input current from
measured experimental of PEMFC. The results show that the obtained
nonlinear NNARX model can efficiently approximate the dynamic
mode of the PEMFC and model output and system measured output
consistently.
Open Science Index 101, 2015