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Optimization Based Control and Estimation in Fed-Batch Processes Open Access

Descriptions

Other title
Subject/Keyword
thermal stress
Microalgae production
Nonlinear programming
Czochralski crystal growth
temperature distribution estimation
Distributed parameter system
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Abdollahi, Javad
Supervisor and department
Dubljevic, Stevan (Chemical and Materials Engineering)
Examining committee member and department
Sauvageau, Dominic (Chemical and Materials Engineering)
Budman, Hector (Chemical Engineering, University of Waterloo)
Prasad, Vinay (Chemical and Materials Engineering)
Tavakoli, Mahdi (Electrical Engineering)
Department
Department of Chemical and Materials Engineering
Specialization
Process Control
Date accepted
2014-08-29T10:58:29Z
Graduation date
2014-11
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
There are varieties of time-varying processes in chemical engineering industrial applications. These processes are abundant among lumped and distributed parameter systems and in batch systems they involve time-dependent change of parameters and/or geometry within lumped and/or distributed parameter systems settings. The focus of this thesis is on optimal state estimation and tracking regulation of two fed-batch processes with time-varying parameters and geometry. The first process is nonlinear time-varying microalgae growth and lipid production. An optimal reference trajectory is identified for maximum lipid production and moving horizon estimator along with model predictive control is realized for reference trajectory tracking of lipid production model. The second process is Czochralski crystal growth process which has moving boundary parabolic partial deferential equation describing heat transfer as dynamic model coupled with a lumped parameter model of pulling dynamics. Galerkin's method is used to reduce the distributed parameter model's order and an observer is developed to reconstruct temperature distribution evolution over the entire crystal domain during growth process. The performance of the observer is examined by implementing the observer on finite element model of the heat transfer in crystal. Furthermore, finite element model of the heat transfer along with finite element model of anisotropic thermal stresses in growing crystal are utilized to identify an optimal trajectory and develop a model predictive reference trajectory tracking controller for temperature distribution in the Czochralski crystal growth process to maximize the crystal cooling while maintaining the thermally induced stresses below the critical value in order to improve the quality of the grown crystal.
Language
English
DOI
doi:10.7939/R3DN4043W
Rights
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.
Citation for previous publication
Abdollahi, J., Dubljevic, S., 2012. Lipid production optimization and optimal control of heterotrophic microalgae fed-batch bioreactor. Chemical Engineering Science, 84, 619-627Abdollahi, J., Izadi, M., Dubljevic, S., 2014. Temperature distribution reconstruction in czochralski crystal growth process. AIChE Journal DOI 10.1002/aic.14486.Abdollahi, J., Dubljevic, S., 2013. Crystal radius and temperature regulation in czochralski crystallization process, in: American Control Conference (ACC), pp. 1626-1632Abdollahi, J., Dubljevic, S., 2013. Distributed temperature estimation in Czochralski crystal growth process, in: American Control Conference (ACC), pp. 5349- 5354

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