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Moving horizon estimation for continuum and noncontinuum states with applications in distillation processes Open Access


Other title
Type of item
Degree grantor
University of Alberta
Author or creator
Olanrewaju, Moshood
Supervisor and department
Huang, Biao (Chemical and Materials Engineering)
Examining committee member and department
Shah,Sirish (Chemical and Materials Engineering)
Zhao, Qing (Electrical and Computer Engineering)
Dubljevic, Stevan (Chemical and Materials Engineering)
El-Farra, Nael (External)
Ben-Zvi, Amos (Chemical and Materials Engineering)
Department of Chemical and Materials Engineering

Date accepted
Graduation date
Doctor of Philosophy
Degree level
This thesis focuses on the development of advanced state estimators for continuum and noncontinuum state estimations in a switching dynamic system, and the demonstration of their applications in addressing some important process monitoring problems of distillation processes. First, the theoretical and experimental investigations of applying a sequential continuum and noncontinuum state estimator to composition estimation in a distillation process with switching dynamics are explored. A moving horizon estimator (MHE), which has the capability to handle process constraints, is developed to estimate product composition in a distillation process under known switching mode criteria using the available temperature measurements. For situations when the system operating mode transition is unknown, an approach to state estimation under unknown switching functions is developed. The proposed method combines a MHE for composition estimation with a mode change detector to detect a change in the system operating mode and an operating mode estimator to identify the functioning mode. Next, a noncontinuum state estimator, which is based on a moving horizon method for a class of switching system that follows a hidden Markov model, is developed. An approach to arrival cost development and constraint handling in moving horizon estimation of noncontinuum state is discussed. The effectiveness of the proposed method is illustrated by considering mode estimation problems in a simulated leakage detection system as well as a continuous stirred tank reactor. Last, the development and application of a hybrid moving horizon estimator (HMHE) to achieve simultaneous estimation of both continuum and noncontinuum states in a constrained dynamic system is explored. One of the major issues in a moving horizon estimation approach is the development of an arrival cost to summarize the effect of past and a prior information. In this work, we have developed a generalized arrival cost, which accounts for both continuum and noncontinuum states. A generalized hybrid state estimator, which can be used as a stand-alone continuum state estimator, or as a simultaneous continuum and noncontinuum state estimator, is developed. The effectiveness of the HMHE is demonstrated through simulation studies, while its practical reliability is tested by conducting experimental studies on distillation processes.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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