Batch process optimization via run-to-run constraints adaptation
File(s)
Accepted version
Author(s)
Marchetti, AG
Chachuat
Bonvin, D
Type
Conference Paper
Abstract
© 2007 EUCA. In the batch process industry, the available models carry a large amount of uncertainty and can seldom be used to directly optimize real processes. Several measurement-based optimization methods have been proposed to deal with model mismatch and process disturbances. Constraints often play a dominant role in the dynamic optimization of batch processes. In their presence, the optimal input profiles are characterized by a set of arcs, switching times and active path and terminal constraints. This paper presents a novel method tailored to those problems where the potential of optimization arises mainly from the correct set of path and terminal constraints being active. The input profiles are computed between successive runs by dynamic optimization of a fixed nominal model, and the constraints in the optimization problem are adapted using measured information from previous batches. Note that, unlike many existing optimization schemes, the measurements are not used to update the process model. Moreover, the proposed approach has the potential to uncover the optimal input structure. This is demonstrated on a simple semi-batch reactor example.
Date Issued
2007-07-05
Date Acceptance
2007-07-01
Citation
2007 European Control Conference, ECC 2007, 2007, pp.2791-2798
ISBN
9783952417386
Publisher
IEEE
Start Page
2791
End Page
2798
Journal / Book Title
2007 European Control Conference, ECC 2007
Copyright Statement
© 2007 EUCA
Source
European Control Conference (ECC)
Publication Status
Published
Start Date
2007-07-02
Finish Date
2007-07-05
Coverage Spatial
Kos, Greece