INFERENTIAL CONTROL OF DISTILLATION COMPO SITION USING PARTIAL LEAST-SQUARES REGRESSION

Citation
M. Kano et al., INFERENTIAL CONTROL OF DISTILLATION COMPO SITION USING PARTIAL LEAST-SQUARES REGRESSION, Kagaku kogaku ronbunshu, 24(3), 1998, pp. 425-430
Citations number
6
Categorie Soggetti
Engineering, Chemical
Journal title
ISSN journal
0386216X
Volume
24
Issue
3
Year of publication
1998
Pages
425 - 430
Database
ISI
SICI code
0386-216X(1998)24:3<425:ICODCS>2.0.ZU;2-3
Abstract
In order to control product compositions in a multicomponent distillat ion column, the composition estimated from measured tray temperatures is used. In this paper, inferential models of product compositions are constructed using Partial Least Squares regression, on the basis of s teady-state and time series temperature measurements. The accuracy of the estimation is greatly improved by using a dynamic model. It is als o found that the use of past temperature measurements is effective for improving the performance of the inferential model. From the detailed dynamic simulation results, it is found that the cascade control syst em using the proposed inferential model works very well.