×
Suggest this Article to:
TOP INDEXERS
Public Paper
-
Fuel Cell Current Ripple Minimization in Real time Using PWM DC/DC Chopper Based on ANN
ISSN: en
Publisher: author
Fuel Cell Current Ripple Minimization in Real time Using PWM DC/DC Chopper Based on ANN
View Paper PDF
Abstract
The main aim of the present paper is the application of the selective harmonics elimination (SHE) in real time based on artificial neural network ANN with the DC/DC chopper interface for fuel Cell (FC) source to overcome the drawback of current ripple. This goal can be achieved in three steps, the off-line optimization of an objective function over a varying range of the average value of the output voltage of the DC/DC with the  reduction or elimination of the selected low harmonics frequency, this task is achieved by using the optimization method of particle swarm optimization (PSO), then a stage of learning and training of the ANN based on back propagation is performed, then the obtained model is used in feed forward to ensure the generation of the switching patterns to fulfill the requirement of selected low frequency harmonics to be eliminated and to control the desired average value of the output voltage. Simulation results ar...
SUBMIT CONCEPT ASK QUESTION
International Category Code (ICC):
ICC-0202
A. Kouzou
International Article Address (IAA):
IAA.ZONE/en6790en
Paper Profile:
Error: SQLSTATE[HY000] [1203] User neredata_asier already has more than 'max_user_connections' active connections