Neural Network Control for  PEM fuel cell

dc.contributor.author	Nawaz, Rifat
dc.contributor.author	Fahim, Tahmid
dc.contributor.author	Muhammad, Aldi Cahya
dc.contributor.author	Rahman, Galib Nakib
dc.date.accessioned	2018-10-02T04:58:28Z
dc.date.available	2018-10-02T04:58:28Z
dc.date.issued	2017-11-15
dc.identifier.uri	http://hdl.handle.net/123456789/261
dc.description.abstract	This paper presents modeling, controller design, and simulation study of a proton exchange membrane fuel cell (PEMFC) distributed generation (DG) system. The overall configuration of the PEMFC DG system is given, dynamic models for the PEMFC power plant and its power electronic interfacing are briefly described, and controller design methodologies for the power conditioning units to control the power flow from the fuel cell power plant to the load are presented. A MATLAB/Simulink simulation model is developed for the PEMFC DG system by combining the individual component models and the controllers designed for the power conditioning units. Simulation results are given to show the overall system performance including load-following capability of the system	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Electrical and Electronic Engineering, Islamic University of Technology	en_US
dc.title	Neural Network Control for PEM fuel cell	en_US
dc.type	Thesis	en_US