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Performance Monitoring of Iterative Learning Control and Development of Generalized Predictive Control for Batch Processes Open Access


Other title
performance assessment
two-dimensional identification
generalized predictive control
iterative learning control
batch processes
Type of item
Degree grantor
University of Alberta
Author or creator
Farasat, Ehsan
Supervisor and department
Huang, Biao (Chemical and Materials Engineering)
Examining committee member and department
Prasad, Vinay (Chemical and Materials Engineering)
Huang, Biao (Chemical and Materials Engineering)
Tavakoli, Mahdi (Electrical and Computer Engineering)
Department of Chemical and Materials Engineering
Process Control
Date accepted
Graduation date
Master of Science
Degree level
Unlike continuous processes, a batch process has a certain period of operation time, and there are a number of batches in a typical operation. Hence variables in a batch process have dynamics in two dimensions, along time and across batches. Besides, batch processes involve large transient phases covering a wide range of operating envelopes, which cause challenges in both modeling and control. To meet the control objectives of batch processes, set-point tracking and disturbance rejection, iterative learning control (ILC) has been widely attempted. This thesis is concerned with the optimal design and performance assessment of ILC based on the minimum variance benchmark. When performance of ILC is unsatisfactory, alternative control strategies should be considered. Generalized predictive control (GPC) is a popular control strategy for continuous processes. Developing a two-dimensional GPC structure for batch processes is another focus of this research. Finally, ILC and suggested GPC are compared through simulation studies.
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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