Automatic Control of Simulated Moving Beds

Industrial and Engineering Chemistry Research

Volumn 43, Issue 2, 2004, Pages 405-421

  Erdem, Gültekin ^a   Abel, Stefanie ^a   Morari, Manfred ^a   Mazzotti, Marco ^a   Morbidelli, Massimo ^a   Lee, Jay H ^b  

^a ETH ZURICH   (Switzerland)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADSORPTION; BIOTECHNOLOGY; CHROMATOGRAPHIC ANALYSIS; COMPUTER SIMULATION; DRUG PRODUCTS; ERROR ANALYSIS; KALMAN FILTERING; OPTIMIZATION; ROBUSTNESS (CONTROL SYSTEMS);

SIMULATED MOVING BEDS (SMB);

FLUIDIZED BEDS;

AUTOMATED CONTROL; CHROMATOGRAPHY; CONTROL METHOD; MOVING BED REGIME; PROCESS OPTIMIZATION; SEPARATION;

ADSORPTION; ARTICLE; AUTOMATION; CHROMATOGRAPHY; FILTER; FLOW RATE; ISOTHERM; NONLINEAR SYSTEM; SEPARATION TECHNIQUE; STEADY STATE;

EID: 0347758313     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie030377o     Document Type: Article

References (29)

1. Juza, M.; Mazzotti, M.; Morbidelli, M. Simulated moving-bed chromatography and its application to chirotechnology. Trends Biotechnol. 2000, 18, 108.
2. Nicoud, R. M. Simulated Moving Bed: Some possible applications of biotechnology. In Bioseparation and Bioprocessing; Subramanian, G., Ed.; Vol. I, Part I; Wiley-VCH: New York, 1998.
3. Francotte, E.; Richert, J. Application of simulated moving bed chromatography to the separation of the enantiomers of chiral drugs. J. Chromatogr. A 1997, 769, 101.
4. Imamoglu, S. Simulated Moving Bed Chromatography (SMB) for Application in Bioseparation. Adv. Biochem. Eng. Biotechnol. 2002, 76, 211.
5. Dünnebier, G.; Klatt, K.-U. Modelling and simulation of nonlinear chromatographic separation processes: A comparison of different modelling approaches. Chem. Eng. Sci. 2000, 55, 373.
6. Mazzotti, M.; Storti, G.; Morbidelli, M. Optimal operation of simulated moving bed units for nonlinear chromatographic separations. J. Chromatogr. A 1997, 769, 3.
7. Migliorini, C.; Gentilini, A.; Mazzotti, M.; Morbidelli, M. Design of Simulated Moving Bed Units under Nonideal Conditions. Ind. Eng. Chem. Res. 1999, 38, 2400.
8. Biressi, G.; Ludemann-Hombourger, O.; Mazzotti, M.; Nicoud, R. M.; Morbidelli, M. Design and optimisation of a simulated moving bed unit: Role of deviations from equilibrium theory. J. Chromatogr. A 2000, 876, 3.
9. 8 aromatics separation using asymptotically exact input/output linearization. J. Process Control 1999, 9, 41.
10. Schramm, H.; Grüner, S.; Kienle, A.; Gilles, E. Control of moving bed chromatographic processes. In Proceedings of European Control Conference 2001; Martins de Carvalho, J. L., Fontes, F. A. C. C., de Pinho, M. d. R., Eds. ; FEUP Edições: Porto, Portugal, 2001; p 2528.
11. Klatt, K. U.; Hanisch, F.; Dünnebier, G. Model-based control of a simulated moving bed chromatographic process for the separation of fructose and glucose. J. Process Control 2002, 12, 203.
12. Bemporad, A.; Morari, M. Model predictive control: A survey. Lect. Notes Control Inf. Sci. 1999, 245, 207.
13. Morari, M.; Lee, J. Model predictive contol: Past, present and future. Comput. Chem. Eng. 1999, 23 (4-5), 667.
14. Natarajan, S.; Lee, J. Repetitive model predictive control applied to a simulated moving bed chromatography system. Comput. Chem. Eng. 2000, 24, 1127.
15. Lee, J.; Natarajan, S.; Lee, K. A model-based predictive control approach to repetitive control of continuous processes with periodic operations. J. Process Control 2001, 11, 195.
16. Abel, S.; Erdem, G.; Mazzotti, M.; Morari, M.; Morbidelli, M. Optimizing Control of Simulated Moving Beds-Linear Isotherm. J. Chromatogr. A, manuscript submitted.
17. Abel, S.; Mazzotti, M.; Erdem, G.; Morari, M.; Morbidelli, M. Optimization Based Adaptive Control of Simulated Moving Beds. In Proceedings of the 3rd Pasific Basin Conference on Adsorption Science and Technology Kyongju, Korea; Lee, C. H., Ed.; World Scientific Pub. Co. Inc., ISBN: 9812383492: 2003.
18. Guiochon, G.; Golshan-Shirazi, S.; Katti, A. M. Fundamentals of Preparative and Nonlinear Chromatography; Academic Press: Boston, 1994.
19. Kalman, R. E. A new approach to linear filtering and prediction problems. Trans. ASME, J. Basic Eng. 1960, 82, 35.
20. MATLAB, Control System Toolbox; The MathWorks, Inc.: Natick, MA, 2001.
21. Pernebo, L.; Silverman, M. Model reduction via balanced state space representations. IEEE Trans. Autom. Control 1982, 27, 382.
22. Morari, M.; Lee, J.; Garcia, C. Model Predictive Control, Preprint, to be published by Prentice-Hall in 2003.
23. Lee, K.; Chin, I. S.; Lee, H.; Lee, J. Model predictive control technique combined with iterative learning for batch processes. AIChE J. 1999, 45 (10), 2175.
24. Grewal, M.; Andrews, A. Kalman Filtering: Theory and Practice, Using MATLAB, 2nd ed.; John Wiley and Sons: New York, 2001.
25. Lee, K. S.; Lee, J. H. Implementations of Iterative Learning Control Methodology. In Iterative Learning Control: Analysis, Design, Integration and Applications; Bien, Z., Xu, J., Eds.; Kluwer Academic Publishers: Boston, 1998.
26. Dünnebier, G.; Fricke, J.; Klatt, K.-U. Optimal design and operation of simulated moving bed chromatographic reactors. Ind. Eng. Chem. Res. 2000, 39, 2290.
27. Pedeferri, M.; Zenoni, G.; Mazzotti, M.; Morbidelli, M. Experimental analysis of a chiral separation through simulated moving bed chromatography. Chem. Eng. Sci. 1999, 54, 3735.
28. Zenoni, G.; Pedeferri, M.; Mazzotti, M.; Morbidelli, M. Online monitoring of enantiomer concentration in chiral simulated moving bed chromatography. J. Chromatogr. A 2000, 888, 73.
29. Zhang, Z.; Mazzotti, M.; Morbidelli, M. PowerFeed: An innovation to the simulated moving bed technology. J. Chromatogr. A, in press.