| contributor author | Rezaei, M. | |
| contributor author | Mohseni, M. | |
| date accessioned | 2017-05-09T00:59:26Z | |
| date available | 2017-05-09T00:59:26Z | |
| date issued | 2013 | |
| identifier issn | 2381-6872 | |
| identifier other | fc_10_3_035001.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/151994 | |
| description abstract | This paper presents the development of dynamic models for proton exchange membrane fuel cells (PEMFC). The PEMFC control system has an important effect on operation of cell. Traditional controllers could not lead to acceptable responses because of timechange, longhysteresis, uncertainty, strongcoupling and nonlinear characteristics of PEMFCs, This paper presents a dynamic model for PEMFC system, 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | A Predictive Control Based on Neural Network for Dynamic Model of Proton Exchange Membrane Fuel Cell | |
| type | Journal Paper | |
| journal volume | 10 | |
| journal issue | 3 | |
| journal title | Journal of Fuel Cell Science and Technology | |
| identifier doi | 10.1115/1.4023838 | |
| journal fristpage | 35001 | |
| journal lastpage | 35001 | |
| identifier eissn | 2381-6910 | |
| tree | Journal of Fuel Cell Science and Technology:;2013:;volume( 010 ):;issue: 003 | |
| contenttype | Fulltext | |
