Fuel Cell Voltage Control using neural network based on model predictive control
عنوان مقاله: Fuel Cell Voltage Control using neural network based on model predictive control
شناسه ملی مقاله: ICS12_179
منتشر شده در دوازدهمین کنفرانس ملی سیستم های هوشمند ایران در سال 1392
شناسه ملی مقاله: ICS12_179
منتشر شده در دوازدهمین کنفرانس ملی سیستم های هوشمند ایران در سال 1392
مشخصات نویسندگان مقاله:
Masoud Salehi Borujeni - Eelectrical and Electronic Department Semnan University Semnan, Iran
Hassan Zarabadipour - Engineering Department Imam Khomeini International University Qazvin, Iran
خلاصه مقاله:
Masoud Salehi Borujeni - Eelectrical and Electronic Department Semnan University Semnan, Iran
Hassan Zarabadipour - Engineering Department Imam Khomeini International University Qazvin, Iran
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
کلمات کلیدی: PEMFC; Fuzzy Controller; NNMPC Controller;Neural Network
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/276258/