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Fuel cell and intelligent power processing using nonlinear control

archives@tulane.edu / 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. / 1 / Sean

  1. tulane:122470
Identiferoai:union.ndltd.org:TULANE/oai:http://digitallibrary.tulane.edu/:tulane_122470
Date January 2004
ContributorsMcClay, Wilbert (author), Drakunov, Sergey (Thesis advisor), School of Science & Engineering Computer Science (Degree granting institution)
PublisherTulane University
Source SetsTulane University
LanguageEnglish
Detected LanguageEnglish
TypeText
Formatelectronic, pages:  84
RightsNo embargo, Copyright is in accordance with U.S. Copyright law.

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