Modeling of the Effects of Cyclic Voltammetry (CV) Using Fuzzy Logic with Different Membership Functions for Proton Exchange Membrane Fuel Cell (PEM) with Polyvinyl Alcohol/Nano Silver (PVA/Ag)
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Tarih
2017Yazar
ERSOYOĞLU, Ali Serhat
ATA, Sadık
DİNÇER, Kevser
ÖNAL, Güral
YILMAZ, Yusuf
Üst veri
Tüm öğe kaydını gösterÖzet
In this study, the effects of cyclic voltammetry (CV) has been modeled
with Rule-based mamdani-type fuzzy (RBMTF), by using experimental data
for proton exchange membrane fuel cell with PVA/AG. In the system
developed, RBMTF apply input parameters are CV, scan rate and time,
output parameters are current density and voltage. 12300 values for
experimental study also obtained with RBMTF. Membership functions (MFs)
are the building blocks of fuzzy set theory, i.e., fuzziness in a fuzzy
set is determined by its MF. Accordingly, the shapes of MFs are
important for a particular problem since they effect on a fuzzy
inference system. They may have different shapes like triangular,
trapezoidal, Gaussian, etc. When the results obtained from RBMTF and
statistical analyses of experimental data have been compared, it has
been determined that the two groups of data are coherent, and that there
is not a significant difference between them. As a result, this study
indicates that RBMTF with different membership functions can be safely
used for CV.
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