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DIGITAL.CSIC
Master thesis . 2017 . Peer-reviewed
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State Observers Design for PEMFC Systems

Authors: Luna Pacho, Julio Alberto;

State Observers Design for PEMFC Systems

Abstract

A series of nonlinear state observers are developed to estimate unmeasurable variables in a Proton Exchange Membrane Fuel Cell (PEMFC) system. A study of the most relevant variables to estimate which will improve the e ciency of the system and its performance is done. The implementation of the observers is based on the partial di erential equations that de ne the dynamics of the plant, represented by a distributed parameters model. Forward and backward discretization of the distributed model are performed to take advantage of the boundary conditions of the problem. A super-twisting corrective control action is implemented in the nonlinear observers to reduce the estimation error to zero in a finite amount of time. Simulation results are presented to show the performance of the observers to recover the values of the gas species concentrations and to extract conclusions for future research work.

Peer Reviewed

Country
Spain
Keywords

Piles de combustible de membrana d'intercanvi de protons, 330, Observers (Control theory), Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Proton exchange membrane fuel cells, Àrees temàtiques de la UPC::Energies::Tecnologia energètica::Emmagatzematge i transport de l’energia, Observadors (Teoria de control)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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