Predictive control of a bench-scale chemical reactor based on neural-network models

IEEE Transactions on Control Systems Technology

Volumn 6, Issue 3, 1998, Pages 388-400

  Schenker, Benedikt ^a   Agarwal, Mukul ^b  

^a Mettler Toledo Schweiz GmbH   (Switzerland)

^b ETH ZURICH   (Switzerland)

Author keywords

Batch process; Neural nets; Predictive control; Robust prediction; System identification; Unknown systems

Indexed keywords

CHEMICAL REACTORS; MATHEMATICAL MODELS; NEURAL NETWORKS; PARAMETER ESTIMATION; PROCESS CONTROL; ROBUSTNESS (CONTROL SYSTEMS); STATE SPACE METHODS;

BATCH PROCESS; EXTERNAL FEEDBACK NETWORKS;

PREDICTIVE CONTROL SYSTEMS;

EID: 0032075441     PISSN: 10636536     EISSN: None     Source Type: Journal    
DOI: 10.1109/87.668039     Document Type: Article

References (22)

1. B. Schenker and M. Agarwal, "Robust predictive control using neural-network models," in AIChE Annu. Meet., St. Louis, MO, Nov. 1993, Paper 147j.
2. _, "Long-range prediction for poorly known systems," Int. J. Contr., vol. 62, pp. 227-238, July 1995.
3. E. D. Gilles and H. Schuler, "Zur frühzeitigen Erkennung gefährlicher Reaktionszustände in chemischen Reaktoren," Chem.-Ing. Tech., vol. 53, no. 9, pp. 673-682, 1981 (in German).
4. D. E. Seborg, T. F. Edgar, and S. L. Shah, "Adaptive control strategies for process control: A survey," AIChE J, vol. 32, no. 6, pp. 881-913, 1986.
5. M. N. Karim and S. L. Rivera, "Use of recurrent neural networks for bioprocess identification in on-line optimization by micro-genetic algorithms," in Amer. Contr. Conf., Chicago, IL, 1992, pp. 1931-1932.
6. G. A. Montague, M. T. Tham, M. J. Willis, and A. J. Morris, "Predictive control of distillation columns using dynamic neural networks," in 3rd IFAC Symp. Dynamics Contr. Chem. Reactors, Distillation Columns, and Batch Processes (DYCORD+ '92), College Park, MD, pp. 231-236.
7. V. R. Rao and W.-K. Lee, "Neural-network approach to automatic startup and control of an exothermic batch reactor," in Amer. Contr. Conf., Boston, MA, June 1991, pp. 2854-2857.
8. J. M. Zaldívar, H. Hernández, and F. Panetsos, "Control of batch reactors using neural networks," Chem. Eng. Processing, vol. 31, no. 3, pp. 173-180, 1992.
9. B. Schenker and M. Agarwal, "Using a priori information in networks," in Inst. Elect. Eng. 2nd Int. Conf. Artificial Neural Networks, Bournemouth, U.K., Nov. 1991, pp. 242-246.
10. _, "Feedback neural networks for supervision of dynamic processes," in IFAC Symp. On-line Fault Detection and Supervision Chem. Process Ind., Newark, DE, Apr. 1992, pp. 168-173.
11. _, "State prediction for chemical reactors using feedback neural networks," in 3rd IFACSymp. Dynamics Contr. Chem. Reactors, Distillation Columns, and Batch Processes (DYCORD+ '92), College Park, MD, Apr. 1992, pp. 171-176.
12. I. Szele and H. Zollinger, "Azo coupling reactions," Topics in Current Chemistry, vol. 112, pp. 1-66, 1983.
13. H. Zollinger, Color Chemistry, 2nd ed. Weinheim, Germany: VCH, 1991.
14. W. Regenass, "Exothermicity of the desired reaction, reaction calorimetry," in European Conf. Evaluation of Thermic Hazards and Prevention of Runaway Chem. Reactions, Zürich, Switzerland, Nov. 1982.
15. J. R. Bourne, F. Brogli, F. Hoch, and W. Regenass, "Heat transfer from exothermically reaction fluid in vertical unstirred vessels - I. Temperature and flow fields, Chem. Eng. Sci., vol. 42, no. 9, pp. 2183-2192, 1987.
16. P. Terwiesch, D. Ravemark, B. Schenker, and D. W. T. Rippin, "Semi-batch process optimization under uncertainty: Theory and experiments," Computers Chem. Eng., vol. 22, pp. 201-213, 1998.
17. P. J. Werbos, "Generalization of backpropagation with application to a recurrent gas market model," Neural Networks, vol. 1, pp. 339-356, 1988.
18. _, "Backpropagation through time: What it does and how to do it," Proc. IEEE, vol. 78, pp. 1550-1560, Oct. 1990.
19. N. Baba, "A new approach for finding the global minimum of error function of neural networks," Neural Networks, vol. 2, pp. 367-373, 1989.
20. M. J. Willis, C. Di Massimo, G. A. Montague, M. T. Tham, and A. J. Morris, "Artificial neural networks in process engineering," Proc. Inst. Elect. Eng., vol. 138, pt. D, pp. 256-266, May 1991.
21. J. A. Nelder and R. Mead, "A simplex method for function minimization," Computer J., vol. 7, pp. 308-313, 1965.
22. H. E. Fierz-David and L. Blangey, Grundlegende Operationen der Farbenchemie, 8th ed. Berlin: Springer-Verlag, 1952 (in German).