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An improved quasi-sequential approach to large-scale dynamic process optimization

 
: Hong, W.R.; Tan, P.C.; Vu, Q.D.; Li, P.

:

Brito, A.:
10th International Symposium on Process Systems Engineering, PSE 2009. Pt.A : August 16 - 20, 2009, Salvador - Bahia - Brazil
Amsterdam: Elsevier, 2009 (Computer-aided chemical engineering 27)
ISBN: 978-0-444-53435-4
ISBN: 978-0-444-53472-9
pp.249-254
International Symposium on Process Systems Engineering (PSE) <10, 2009, Salvador-Bahia>
English
Conference Paper
Fraunhofer IITB ( IOSB) ()

Abstract
We present an improved quasi-sequential approach to large-scale dynamic process optimization. This new approach incorporates the quasi-sequential approach with the interior point method to handle inequality constraints. In this way the eventual optimization problem to be solved becomes a NLP without constraints. Mathematical derivations and computation schemes are developed. We first take a two-dimensional constrained optimization problem as an example; the result is compared with the simultaneous and quasi-sequential approach in terms of path solution with a graphical interpretation. A highly nonlinear reactor optimal control problem is also taken to demonstrate the effectiveness of this approach.

: http://publica.fraunhofer.de/documents/N-146327.html