Kutla, Srikanth
(2015)
Data Based Modeling of Solid Oxide Fuel Cells.
Masters thesis, Indian Institute of Technology Hyderabad.
Abstract
Solid oxide fuel cells(SOFC) are energy conversion devices capable of producing clean energy with higher efficiencies. Here we are interested in mathematical modeling of fuel cells which is an essential tool in designing control systems. For this we took the input output data from a model which includes all important physical and chemical processes in a fuel cell. A sinusoidal change in inlet velocity of the fuel is considered as the input and the dynamic response of the system with this particular input is considered as output(current density). Because of the complexities involved in the chemical and electrochemical processes, SOFC is a nonlinear system. To identify this system, we have chosen a wavelet based Non-linear Auto regressive Moving Average Model with exogenous input(NARX).
The functional components of the NARX model expanded in wavelet multi resolution expansion.
With this, we obtain a linear-in parameters which can be solved by least squares.
Actions (login required)
 |
View Item |
Altmetric
Altmetric