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Fuel cell and intelligent power processing using nonlinear control

This dissertation is a detailed scientific study concerning a proton exchange membrane fuel cell, which is coupled to a DC-to-DC converter as the power processor, serving as a power source. The novel aspect of the dissertation is the use of a new controller or nonlinear observer to predict parameter estimation of the fuel cell and the DC-to-DC converter as the load potential changes for the automated control system. Nonlinear control algorithms, which include nonlinear observers, were developed for such systems. / acase@tulane.edu

  1. tulane:24229
Identiferoai:union.ndltd.org:TULANE/oai:http://digitallibrary.tulane.edu/:tulane_24229
Date January 2004
ContributorsMcClay, Wilbert (Author)
PublisherTulane University
Source SetsTulane University
LanguageEnglish
Detected LanguageEnglish
Format84
RightsCopyright is in accordance with U.S. Copyright law

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