A model-based predictive control approach to repetitive control of continuous processes with periodic operations

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A novel model-based predictive control (MPC) method is developed with the aim of applying it to periodic process control problems. By borrowing concepts From repetitive control (RC), we endow the MPC method with the ability to make continuous period-to-period improvements. The method uses a linear time-varying system description of a periodic process and can handle constraints on inputs and outputs. Some numerical examples are shown to illustrate performance improvements that can be achieved by the new method over the conventional MPC and RC methods. (C) 2001 Published by Elsevier Science Ltd. All rights reserved.
Publisher
ELSEVIER SCI LTD
Issue Date
2001-04
Language
English
Article Type
Article
Keywords

ITERATIVE LEARNING CONTROL; SYSTEM

Citation

JOURNAL OF PROCESS CONTROL, v.11, pp.195 - 207

ISSN
0959-1524
DOI
10.1016/S0959-1524(00)00047-0
URI
http://hdl.handle.net/10203/82709
Appears in Collection
CBE-Journal Papers(저널논문)
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