A Predictive control based on Neural Network for Proton Exchange Membrane Fuel Cell
نویسندگان
چکیده
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 timechange, longhysteresis, uncertainty, strongcoupling 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. Keywords—PEMFC, Neural Network, Predictive Control..
منابع مشابه
Studies on the SPEEK membrane with low degree of sulfonation as a stable proton exchange membrane for fuel cell applications
Sulfonated poly (ether ether ketone) (SPEEK) with a low degree of sulfonation (DS = 40%) was prepared for proton exchange membrane fuel cells (PEMFC). Poly (ether ether ketone) (PEEK) was sulfonated in concentrated H2SO4 under N2 atmosphere and characterized by the hydrogen nuclear magnetic resonance (H-NMR) technique. After preparation of the SPEEK polymer, the obtained polymer was dissolved i...
متن کاملA New Maximum Power Point Tracking Method for PEM Fuel Cells Based On Water Cycle Algorithm
Maximum Power Point (MPP) tracker has an important role in the performance of fuel cell (FC) systems improvement. Tow parameters which have effect on the Fuel cell output power are temperature and membrane water. So contents make the MPP change by with variations in each parameter. In this paper, a new maximum power point tracking (MPPT) method for Proton Exchange Membrane (PEM) fuel cell is pr...
متن کاملIntegration of a Vanadium Redox Flow Battery with a Proton Exchange Membrane Fuel Cell as an Energy Storage System
The proton exchange membrane (PEM) fuel cell is a green energy producer which converts chemical energy to electricity in high yield. Alternatively, the vanadium redox flow battery (VRB) is one of the best rechargeable batteries because of its capability to average loads and output power sources. These two systems are modeled by Nernst equation and electrochemical rules. An effective energy gene...
متن کاملLead-Lag Controllers Coefficients Tuning to Control Fuel Cell Based on PSO Algorithm
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag contr...
متن کاملPorous Proton Exchange Membrane Based Zeolitic Imidazolate Framework-8 (ZIF-8)
Metal-organic frameworks (MOFs) are emerging material class for the past few years due to its tailorability characteristics for various applications. However, the research and development (R&D) of MOFs is still scarce for fuel cell system. This may be due to the several difficulties faced in selecting a good MOFs-based electrolyte, which consequently affects both proton conduction and methanol ...
متن کامل