Fuel Cell Voltage Control using neural network based on model predictive control
Publish place: 12th Iranian Conference on Intelligent Systems
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICS12_179
تاریخ نمایه سازی: 11 مرداد 1393
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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Authors
Masoud Salehi Borujeni
Eelectrical and Electronic Department Semnan University Semnan, Iran
Hassan Zarabadipour
Engineering Department Imam Khomeini International University Qazvin, Iran