Nonlinear adaptive observer design for a reverse osmosis plant

dc.contributor.advisorPérez Zúñiga, Carlos Gustavo
dc.contributor.authorKorder, Kristina
dc.date.accessioned2021-11-11T17:16:41Z
dc.date.available2021-11-11T17:16:41Z
dc.date.created2021
dc.date.issued2021-11-11es_ES
dc.description.abstractThis thesis proposes a novel approach for a nonlinear adaptive observer design applied to a reverse osmosis desalination plant. The considered mathematical model of the de- salination system includes nonlinearities of the states and the parameters that cannot be handled with previously published estimation methods which are based on the mod- ulating function technique. Therefore, the proposed real-time capable approach uses a decoupled parameter estimator and state observer. These estimates can be utilized for developing a controller or a fault detection system of the desalination plant with the aim of improving the quality and effort of fresh water production. The parameter estimator is composed of a convolution filter with modulating func- tions and the common Extended Kalman-Bucy Filter in order to estimate nonlinear parameters of a state-linear input/output relation. To receive a regression form of the nonlinear system for the state observer and to avoid the necessity of time-derivatives of the measured input and output signals, a linearization by means of the Taylor se- ries and the modulating function technique are applied. The estimates can be non- asymptotically obtained by using a sliding window of finite length. This procedure allows a continuous and recursive update of the state estimates and extends the possi- ble applications of the modulating function technique to nonlinear systems. Comparative simulations are executed with the considered nonlinear system of a reverse osmosis desalination plant. Distinct scenarios with respect to the parameter change and the impact of noise are examined. The parameter and state coupled Ex- tended Kalman-Bucy Filter shows an asymptotic convergence of its estimates, whereas the decoupled proposed adaptive observer confirms its non-asymptotic behavior by fast estimation results.es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12404/20866
dc.language.isoenges_ES
dc.publisherPontificia Universidad Católica del Perúes_ES
dc.publisher.countryPEes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/pe/*
dc.subjectPlantas para tratamiento de aguaes_ES
dc.subjectSistemas no lineales--Controles_ES
dc.subjectSistemas de control adaptativoes_ES
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.00.00es_ES
dc.titleNonlinear adaptive observer design for a reverse osmosis plantes_ES
dc.typeinfo:eu-repo/semantics/masterThesises_ES
renati.advisor.dni41864666
renati.advisor.orcidhttps://orcid.org/0000-0001-5946-1395es_ES
renati.author.cedulaCG7WVM7K2
renati.discipline712037es_ES
renati.jurorReger , Johann
renati.jurorPérez Zúñiga, Carlos Gustavo
renati.jurorSotomayor Moriano, Juan Javier
renati.levelhttps://purl.org/pe-repo/renati/level#maestroes_ES
renati.typehttps://purl.org/pe-repo/renati/type#tesises_ES
thesis.degree.disciplineIngeniería de Control y Automatizaciónes_ES
thesis.degree.grantorPontificia Universidad Católica del Perú. Escuela de Posgrado.es_ES
thesis.degree.levelMaestríaes_ES
thesis.degree.nameMaestro en Ingeniería de Control y Automatizaciónes_ES

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