Dynamic optimization of batch processes II. Role of measurements in handling uncertainty

Computers and Chemical Engineering

Volumn 27, Issue 1, 2003, Pages 27-44

  Srinivasan, B ^a   Bonvin, D ^a   Visser, E ^a   Palanki, S ^b  

^a EPFL   (Switzerland)

^b FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Batch processes; Dynamic optimization; Measurement based optimization; On line optimization; Optimal control; Robust optimization; Run to run optimization

Indexed keywords

BIOREACTORS; COMPUTER SIMULATION; CONSTRAINT THEORY; OPTIMIZATION;

BATCH PROCESSES;

UNCERTAIN SYSTEMS;

PENICILLIN G;

BATCH PROCESS; CHEMICAL ENGINEERING; OPTIMIZATION; REACTOR;

ARTICLE; BATCH FERMENTATION; BIOREACTOR; DRUG MANUFACTURE; INDUSTRY; INTERMETHOD COMPARISON; MATERIALS HANDLING; MATHEMATICAL MODEL; MEASUREMENT; NOMINAL SOLUTION; PROCESS OPTIMIZATION; SENSITIVITY ANALYSIS; SIMULATION;

EID: 0037438469     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(02)00117-5     Document Type: Article

References (64)

1. Abel, O., Helbig, A., Marquardt, W., Zwick, H., & Daszkowski, T. (2000). Productivity optimization of an industrial semi-batch polymerization reactor under safety constraints. Journal of Process Control 10 (4), 351-362.
2. Abel, O., Marquardt, W. (1998). A model predictive control scheme for safe and optimal operation of exothermic semi-batch reactors. In IFAC DYCOPS-5 (pp.761-766). Corfu, Greece.
3. Alamir, M., & Balloul I. (1999). Robust control of general constrained batch processes. In European control conference, number F805. Karlsruhe, Germany.
4. Aström, K. J., & Wittenmark, B. (1995). Adaptive control (2nd ed.. Reading, MA: Addison-Wesley.
5. Bajpai, R. K., & Reuss, M. (1981). Evaluation of feeding strategies in carbon-regulated secondary metabolite production through mathematical modelling. Biotechnology and Bioengineering 13, 717-738.
6. Bastin, G., & Dochain, D. (1990). On line estimation and adaptive control of bioreactors. Amsterdam: Elsevier.
7. Benthack, C. (1997). Feedback-based optimization of a class of constrained nonlinear systems: application to a biofilter. PhD thesis 1717. Lausanne, Switzerland: Swiss Federal Institute of Technology (EPFL).
8. Bonvin, D. (1998). Optimal operation of batch reactors - a personal view. Journal of Process Control 8 (5-6), 355-368.
9. Bonvin, D., Srinivasan, B., & Ruppen, D. (2002). Dynamic optimization in the batch chemical industry. Proceedings of the CPC-VI Conference, American Institute of Chemical Engineers, Symposium Series, 326 (98), 255-273.
10. Box, G. E. P., & Draper, N. R. (1987). Empirical model-building and response surfaces. New York: John Wiley.
11. Bryson, A. E. (1999). Dynamic optimization. Menlo Park, CA: Addison-Wesley.
12. Chin, I. S., Lee, K. S., & Lee, J. H. (1999). A unified framework for combined quality and tracking control of batch processes. In 14th IFAC world congress (Vol. N) (pp. 349-354). Beijing, PR China.
13. Chu, W. B. Z., & Constantinides, A. (1988). Modeling, optimization, and computer control of cephalosporin C fermentation process. Biotechnology and Bioengineering 32, 277-288.
14. Clarke-Pringle, T. L., & MacGregor, J. F. (1998). Optimization of molecular weight distribution using batch-to-batch adjustments. Industrial and Engineering Chemistry Research 37, 3660-3669.
15. Diwekar, U. M. (1995). Batch distillation: simulation, optimal design and control. Washington: Taylor and Francis.
16. Dong, D., McAvoy, T. J., & Zafiriou, E. (1996). Batch-to-batch optimization using neural networks. Industrial and Engineering Chemistry Research 35, 2269-2276.
17. Doyle, F. J. (1998). Nonlinear inferential control for process applications. Journal of Process Control 8 (5-6), 339-353.
18. Eaton, J. W., & Rawlings, J. B. (1990). Feedback control of nonlinear processes using on-line optimization techniques. Computers and Chemical Engineering 14, 469-479.
19. Filippi, C., Greffe, J. L., Bordet, J., Villermaux, J., Barnay, J. L., Ponte, B., & Georgakis, C. (1986). Tendency modeling of semibatch reactors for optimization and control. Computers and Chemical Engineering 41, 913-920.
20. Filippi-Bossy, C., Bordet, J., Villermaux, J., Marchal-Brassely, S., & Georgakis, C. (1989). Batch reactor optimization by use of tendency models. Computers and Chemical Engineering 13, 35-47.
21. Fotopoulos, J., Georgakis, C., & Stenger, H. G. (1994). Uncertainty issues in the modeling and optimisation of batch reactors with tendency modeling. Chemical Engineering Science 49, 5533-5548.
22. François, G., Srinivasan, B., & Bonvin, D. (2002). Run-to-run optimization of batch emulsion polymerization. In 15th IFAC world congress. Vol. I-Mo-M11. Barcelona, Spain.
23. Friedland, B. (1986). Control system design - an introduction to state-space methods. New York: McGraw-Hill.
24. Garcia, V., Cabassud, M., Le Lann, M. V., Rigal, L., & Casamatta, G. (1997). A global strategy for the optimization of batch reactors: application to lactic acid synthesis by the alkaline degradation of fructose. In IMACS/IFAC symposium on mathematical modelling and simulation in agricultural and bio-industries (pp. 63-68). Budapest.
25. Gentric, C., Pla, F., Latifi, M. A., & Corriou, J. P. (1999). Optimization and nonlinear control of a batch emulsion polymerization. The Chemical Engineering Journal 75 (1), 31-46.
26. Grossmann, I. E., & Sargent, R. W. H. (1978). Optimum design of chemical plants with uncertain parameters. American Institute of Chemical Engineering Journal 24, 1021-1028.
27. Gygax, R. (1988). Chemical reaction engineering for safety. Computers and Chemical Engineering 43 (8), 1759-1771.
28. Halemane, K. P., & Grossmann, I. E. (1983). Optimal process design under uncertainty. American Institute of Chemical Engineering Journal 29, 425-433.
29. Jazwinski, A. H. (1970). Stochastic processes and filtering theory. New York: Academic Press.
30. Joseph, B., & Brosilow, C. (1978). Inferential control of processes. III. Construction of optimal and suboptimal dynamic estimators. American Institute of Chemical Engineering Journal 24 (3), 500-508.
31. Kirk, D. E. (1970). Optimal control theory: an introduction. London: Prentice-Hall.
32. Krothapally, M., Bennett, B., Finney, W., & Palanki, S. (1999). Experimental implementation of an on-line optimization scheme to batch PMMA synthesis. ISA Transactions 38, 185-198.
33. Landau, I. D., Lozano, R., & Saad, M. M. (1998). Adaptive control. London: Springer-Verlag.
34. Lee, K. S., Chin, I. S., Lee, H. J., & Lee, J. H. (1999). Model predictive control technique combined with iterative learning for batch processes. American Institute of Chemical Engineering Journal 45 (10), 2175-2187.
35. Ljung, L. (1987). System identification: theory for the user. Englewood Cliff, NJ: Prentice-Hall.
36. Maarleveld, A., & Rijnsdorp, J. E. (1970). Constraint control of distillation columns. Automatica 6, 51-58.
37. McLennan, F., & Kowalski, B., Process analytical chemistry (1995). London: Blackie Academic and Professional.
38. Meadows, E. S., & Rawlings, J. B. (1991). Model identification and control of a semibatch chemical reactor. In American control conference (pp. 249-255). Boston, MA.
39. Moore, K. L. (1993). Iterative learning control for deterministic systems. Advances in Industrial Control, London: Springer-Verlag.
40. Morari, M., & Zafiriou, E. (1989). Robust process control. London: Prentice-Hall.
41. Nichols, G. D. (1988). On-line process analyzers. New York: John Wiley.
42. Noda, M., Chida, T., Hasebe, S., & Hashimoto, I. (2000). On-line optimization system of pilot scale multi-effect batch distillation system. Computers and Chemical Engineering 24, 1577-1583.
43. Ogunnaike, B. A., & Ray, W. H. (1994). Process dynamics, modeling and control. New York: Oxford University Press.
44. Pai, C. C. D., & Hughes, R. R. (1987). Strategies for formulating and solving two-stage problems for process design under uncertainty. Computers and Chemical Engineering 11, 695-706.
45. Ponnuswamy, S. R., Shah, S. L., & Kiparissides, C. A. (1987). Computer optimal control of batch polymerization reactors. Industrial and Engineering Chemistry Research 26, 2229-2236.
46. Rawlings, J. B., Jerome, N. F., Hamer, J. W., & Bruemmer, T. M. (1989). End-point control in semi-batch chemical reactors. In IFAC DYCORD+'89 (pp. 339-344). Maastricht, Netherlands.
47. Roberts, P. D., & Williams, T. W. C. (1981). On an algorithm for combined system optimization and parameter estimation. Automatica 17, 199-209.
48. Robertson, D. G., Lee, J. H., & Rawlings, J. B. (1996). A moving-horizon based approach for least squares estimation. American Institute of Chemical Engineering Journal 42 (8), 2209-2224.
49. Ruppen, D., Benthack, C., & Bonvin, D. (1995). Optimization of batch reactor operation under parametric uncertainty - computational aspects. Journal of Process Control 5 (4), 235-240.
50. Ruppen, D., Bonvin, D., & Rippin, D. W. T. (1998). Implementation of adaptive optimal operation for a semi-batch reaction system. Computers and Chemical Engineering 22, 185-189.
51. Sage, A. P., & White, C. C. (1977). Optimal systems control (2nd ed.). Englewood Cliffs: Prentice-Hall.
52. Schenker, B., & Agarwal, M. (2000). On-line optimized feed switching in semi-batch reactors using semi-empirical dynamic models. Control Engineering Practice 8 (12), 1393-1403.
53. Soroush, M., & Valluri, S. (1994). An approach to optimization and control of batch processes. In American control conference (pp. 490-494). Baltimore, MD.
54. Srinivasan, B., & Bonvin, D. (2002). Interplay between identification and optimization in run-to-run optimization schemes. In American control conference (pp. 2174-2179). Anchorage, Alaska.
55. Srinivasan, B., Palanki, S., & Bonvin, D. (2002). Dynamic optimization of batch processes: I. Characterization of the nominal solution. Computers and Chemical Engineering (X-ref: PII S00981354(02)001175).
56. Srinivasan, B., Primus, C. J., Bonvin, D., & Ricker, N. L. (2001). Run-to-run optimization via generalized constraint control. Control Engineering Practice 9, 911-919.
57. Terwiesch, P., Agarwal, M., & Rippin, D. W. T. (1994). Batch unit optimization with imperfect modeling - a survey. Journal of Process Control 4, 238-258.
58. Terwiesch, P., Ravemark, D., Schenker, B., & Rippin, D. W. T. (1998). Semi-batch process optimization under uncertainty: theory and experiments. Computers and Chemical Engineering 22 (1-2), 201-213.
59. Ubrich, O., Srinivasan, B., Stoessel, F., & Bonvin, D. (1999). Optimization of a semi-batch reaction system under safety constraints. In European control conference (pp. F306.1-F306.6). Karlsruhe, Germany.
60. Visser, E., Srinivasan, B., Palanki, S., & Bonvin, D. (2000). A feedback-based implementation scheme for batch process optimization. Journal of Process Control 10, 399-410.
61. Welz, C., Srinivasan, B., & Bonvin, D. (2002). Evaluation of measurement-based optimization schemes for batch distillation. In 15th IFAC world congress (Vol. I-Mo-M11). Barcelona, Spain.
62. Wittenmark, B. (1995). Adaptive dual control methods: an overview. In IFAC Symposium on Adaptive Syst. in Control and Signal Proc. (pp. 67-72). Budapest.
63. Yabuki, Y., & MacGregor, J. F. (1997). Product quality control in semi-batch reactors using mid-course correction policies. In IFAC ADCHEM'97 (pp. 189-194). Banff, Canada.
64. Zafiriou, E., & Zhu, J. M. (1990). Optimal control of semi-batch processes in the presence of modeling error. In American control conference (pp. 1644-1649). San Diego, CA.