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Pérez Zúñiga, Carlos Gustavo
Korder, Kristina
2021-11-11T17:16:41Z
2021-11-11T17:16:41Z
2021-11-11T17:16:41Z
2021-11-11T17:16:41Z
2021
2021-11-11 (es_ES)
http://hdl.handle.net/20.500.12404/20866
This 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)
eng (es_ES)
Pontificia Universidad Católica del Perú (es_ES)
info:eu-repo/semantics/openAccess (es_ES)
http://creativecommons.org/licenses/by-nc-sa/2.5/pe/ (*)
Plantas para tratamiento de agua (es_ES)
Sistemas no lineales--Control (es_ES)
Sistemas de control adaptativo (es_ES)
Nonlinear adaptive observer design for a reverse osmosis plant (es_ES)
info:eu-repo/semantics/masterThesis (es_ES)
Pontificia Universidad Católica del Perú. Escuela de Posgrado. (es_ES)
Ingeniería de Control y Automatización (es_ES)
Maestría (es_ES)
Maestro en Ingeniería de Control y Automatización (es_ES)
PE (es_ES)
https://purl.org/pe-repo/ocde/ford#2.00.00 (es_ES)
https://purl.org/pe-repo/renati/level#maestro (es_ES)
41864666
https://orcid.org/0000-0001-5946-1395 (es_ES)
CG7WVM7K2
712037 (es_ES)
Sotomayor Moriano, Juan Javier
Reger , Johann
Pérez Zúñiga, Carlos Gustavo
https://purl.org/pe-repo/renati/type#tesis (es_ES)
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