Inferential Control of Distillation Composition Using Partial Least Squares Regression
In order to control product compositions in a multicomponent distillation 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 steady-state and time...
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| Published in | KAGAKU KOGAKU RONBUNSHU Vol. 24; no. 3; pp. 425 - 430 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
Tokyo
The Society of Chemical Engineers, Japan
1998
Kagaku Kōgaku Kyōkai |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0386-216X 1349-9203 |
| DOI | 10.1252/kakoronbunshu.24.425 |
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| Abstract | In order to control product compositions in a multicomponent distillation 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 steady-state and time series temperature measurements. The accuracy of the estimation is greatly improved by using a dynamic model. It is also found that the use of past temperature measurements is effective for improv-ing the performance of the inferential model. From the detailed dynamic simulation results, it is found that the cascade control system using the proposed inferential model works very well. |
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| AbstractList | In order to control product compositions in a multicomponent distillation 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 steady-state and time series temperature measurements. The accuracy of the estimation is greatly improved by using a dynamic model. It is also found that the use of past temperature measurements is effective for improv-ing the performance of the inferential model. From the detailed dynamic simulation results, it is found that the cascade control system using the proposed inferential model works very well. |
| Author | KANO, MANABU HASEBE, SHINJI HASHIMOTO, IORI MIYAZAKI, KOICHI |
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| CitedBy_id | crossref_primary_10_1016_j_jprocont_2023_103071 crossref_primary_10_1252_kakoronbunshu_41_29 crossref_primary_10_1016_j_ifacol_2021_08_219 |
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| Copyright | by THE SOCIETY OF CHEMICAL ENGINEERS, JAPAN 1998 INIST-CNRS |
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| References | Mejdell, T. and S. Skogestad ; “Composition Estimator in a Pilot-Plant Distillation Column using Multiple Temperatures, ” Ind. Eng. Chem. Res., 30, 2555-2564 (1991 b) Fujii, H., S. Lakshminarayanan and S. L. Shah ; “Application of the PLS Technique to the Estimation of Distillation Tower Top Composition, ” Preprints of IFAC symposium on Advanced Control of Chemical Processes (ADCHEM), Banff, Canada (1997) Mejdell, T. and S. Skogestad ; “Estimation of Distillation Compositions from Multiple Temperature Measurements using Partial Least Squares Regression, ” Ind. Eng. Chem. Res., 30, 2543-2555 (1991 a) Shin, J., S. Park, and M. Lee ; “Design of a Composition Estimator for Inferential Control of High-Purity Distillation Columns, ” Preprints of Chemical Process Control-V (CPC-V), Tahoe City, USA (1996) Mejdell, T. and S. Skogestad ; “Output Estimation using Multiple Secondary Measurements : high-purity distillation, ” AIChE J., 39, 1641-1653 (1993) Suda, N. ; PID seigyo, p. 9-32, Asakura Shoten, Tokyo, Japan (1992) |
| References_xml | – reference: Shin, J., S. Park, and M. Lee ; “Design of a Composition Estimator for Inferential Control of High-Purity Distillation Columns, ” Preprints of Chemical Process Control-V (CPC-V), Tahoe City, USA (1996) – reference: Fujii, H., S. Lakshminarayanan and S. L. Shah ; “Application of the PLS Technique to the Estimation of Distillation Tower Top Composition, ” Preprints of IFAC symposium on Advanced Control of Chemical Processes (ADCHEM), Banff, Canada (1997) – reference: Suda, N. ; PID seigyo, p. 9-32, Asakura Shoten, Tokyo, Japan (1992) – reference: Mejdell, T. and S. Skogestad ; “Output Estimation using Multiple Secondary Measurements : high-purity distillation, ” AIChE J., 39, 1641-1653 (1993) – reference: Mejdell, T. and S. Skogestad ; “Composition Estimator in a Pilot-Plant Distillation Column using Multiple Temperatures, ” Ind. Eng. Chem. Res., 30, 2555-2564 (1991 b) – reference: Mejdell, T. and S. Skogestad ; “Estimation of Distillation Compositions from Multiple Temperature Measurements using Partial Least Squares Regression, ” Ind. Eng. Chem. Res., 30, 2543-2555 (1991 a) |
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| Snippet | In order to control product compositions in a multicomponent distillation column, the composition estimated from measured tray temperatures is used. In this... |
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| StartPage | 425 |
| SubjectTerms | cascade control distillation column inferential control inferential model partial least squares |
| Title | Inferential Control of Distillation Composition Using Partial Least Squares Regression |
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