STATE VARIABLES MONITORING USING A CLASS OF NONLINEAR OBSERVER BASED ESTIMATOR, APPLIED TO CONTINUOUS BIO-SYSTEM

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Autore principale: Ricardo Aguilar-López
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidad Nacional Autónoma de México 2008
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author Ricardo Aguilar-López
author_facet Ricardo Aguilar-López
contents STATE VARIABLES MONITORING USING A CLASS OF NONLINEAR OBSERVER BASED ESTIMATOR, APPLIED TO CONTINUOUS BIO-SYSTEM Ricardo Aguilar-López Ricardo Acevedo-Gómez María Isabel Neria González Alma Rosa Domínguez-Bocanegra Ingeniería bioreactor model Robust estimation anaerobic biosystem In this work, the state estimation of key variables such as biomass and products of a sulfate reducing bacterium is predicted by using only sulfate (substrate) concentration measurements under the assumption of an unknown kinetic term. The process was developed by continuous culture, where the mathematical kinetic model for the biomass, sulfate and sulfide concentrations is presented and tuned using experimental data. The design of the nonlinear state estimator takes into account an adaptive gain. The results of the proposed estimation methodology were generated via numerical simulation; they showed a satisfactory performance. 2008 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47413023002 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.3 Vol.6
format Artículo científico
id redalyc_47413023002
institution Redalyc
language en
publishDate 2008
publisher Universidad Nacional Autónoma de México
spellingShingle STATE VARIABLES MONITORING USING A CLASS OF NONLINEAR OBSERVER BASED ESTIMATOR, APPLIED TO CONTINUOUS BIO-SYSTEM
Ricardo Aguilar-López
Ingeniería
bioreactor model
Robust estimation
anaerobic biosystem
STATE VARIABLES MONITORING USING A CLASS OF NONLINEAR OBSERVER BASED ESTIMATOR, APPLIED TO CONTINUOUS BIO-SYSTEM Ricardo Aguilar-López Ricardo Acevedo-Gómez María Isabel Neria González Alma Rosa Domínguez-Bocanegra Ingeniería bioreactor model Robust estimation anaerobic biosystem In this work, the state estimation of key variables such as biomass and products of a sulfate reducing bacterium is predicted by using only sulfate (substrate) concentration measurements under the assumption of an unknown kinetic term. The process was developed by continuous culture, where the mathematical kinetic model for the biomass, sulfate and sulfide concentrations is presented and tuned using experimental data. The design of the nonlinear state estimator takes into account an adaptive gain. The results of the proposed estimation methodology were generated via numerical simulation; they showed a satisfactory performance. 2008 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47413023002 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.3 Vol.6
title STATE VARIABLES MONITORING USING A CLASS OF NONLINEAR OBSERVER BASED ESTIMATOR, APPLIED TO CONTINUOUS BIO-SYSTEM
topic Ingeniería
bioreactor model
Robust estimation
anaerobic biosystem
url https://www.redalyc.org/articulo.oa?id=47413023002