Fuel Cell Voltage Control using neural network based on model predictive control
Publish place: 12th Iranian Conference on Intelligent Systems
Publish Year: 1392
Type: Conference paper
Language: English
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ICS12_179
Index date: 2 August 2014
Fuel Cell Voltage Control using neural network based on model predictive control abstract
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 routinewhich 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
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Fuel Cell Voltage Control using neural network based on model predictive control authors
Masoud Salehi Borujeni
Eelectrical and Electronic Department Semnan University Semnan, Iran
Hassan Zarabadipour
Engineering Department Imam Khomeini International University Qazvin, Iran