شماره ركورد كنفرانس :
144
عنوان مقاله :
Fuel Cell Voltage Control using neural network based on model predictive control
پديدآورندگان :
Salehi Borujeni Masoud نويسنده , Zarabadipour Hassan نويسنده Electrical Engineering Department, Imam Khomeini International University, Qazvin, Iran
كليدواژه :
PEMFC , NNMPC Controller , Fuzzy Controller , Neural network
عنوان كنفرانس :
مجموعه مقالات دوازدهمين كنفرانس سيستم هاي هوشمند ايران
چكيده فارسي :
in this paper, a neural network based model
predictive control (NNMPC) algorithm was implemented to
control the voltage of a proton exchange membrane fuel cell
(PEMFC). In this approach, a neural network model is trained to
predict the future process response over the specified horizon.
The predictions are passed to a numerical optimization routine
which attempts to minimize a specified cost function to calculate
a suitable control signal at each sample instant. The performance
results of the NNMPC were compared with a fuzzy controller
شماره مدرك كنفرانس :
3817034
