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A predictive control based on neural network for proton exchange membrane fuel cell

Sedighizadeh, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. Abstract:
  3. The Proton Exchange Membrane Fuel Cell (PEMFC) control system has an important effect on operation of cell. Traditional controllers couldn't lead to acceptable responses because of time- change, long- hysteresis, uncertainty, strong- coupling and nonlinear characteristics of PEMFCs, so an intelligent or adaptive controller is needed. In this paper a neural network predictive controller have been designed to control the voltage of at the presence of fluctuations of temperature. The results of implementation of this designed NN Predictive controller on a dynamic electrochemical model of a small size 5 KW, PEM fuel cell have been simulated by MATLAB/SIMULINK
  4. Keywords:
  5. PEMFC ; Predictive control ; Adaptive controllers ; Electrochemical models ; Nonlinear characteristics ; PEM fuel cell ; Predictive control ; Computer simulation ; Neural networks ; Proton exchange membrane fuel cells (PEMFC) ; Predictive control systems ; MATLAB /SIMULINK ; Protons ; Small size ; Strong-coupling
  6. Source: World Academy of Science, Engineering and Technology ; Volume 50 , 2011 , Pages 456-460 ; 2010376X (ISSN)
  7. URL: http://waset.org/publications/5554/a-predictive-control-based-on-neural-network-for-proton-exchange-membrane-fuel-cell