Predictive control of quality in batch polymerization using hybrid ANN models

AIChE Journal

Volumn 42, Issue 2, 1996, Pages 455-465

  Tsen, Andy Yen Di ^a   Jang, Shi Shang ^a   Wong, David Shan Hill ^a   Joseph, Babu ^b  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CHEMICAL REACTORS; COMPUTER CONTROL; DISPERSIONS; FEEDBACK CONTROL; MANUFACTURE; MATHEMATICAL MODELS; MOLECULAR WEIGHT DISTRIBUTION; NEURAL NETWORKS; ONLINE SYSTEMS; QUALITY CONTROL; VINYL RESINS;

BATCH MANUFACTURING; BATCH REACTION; DISPERSITY; PRODUCT QUALITY; VINYL ACETATE;

EMULSION POLYMERIZATION;

EID: 0030083646     PISSN: 00011541     EISSN: None     Source Type: Journal    
DOI: 10.1002/aic.690420215     Document Type: Article

References (23)

1. Bhat, N., and T. J. McAvoy, "Use of Neural Nets for Dynamic Modeling and Control of Chemical Process System," Comput. Chem. Eng., 14, 573 (1990).
2. Friis, N., D. Goosney, J. D. Wright, and A. E. Hamielec, "Molecular Weight and Branching Development in Vinyl Acetate Emulsion Polymerization," J. Appl. Poly. Sci., 18, 1247 (1974).
3. Hernandez, E., and Y. Arkun, "Study of the Control Relevant Properties of Back Propagation Neural Network Models of Nonlinear Dynamical Systems," Comput. Chem. Eng., 16, 227 (1992).
4. Hoskins, J. C., and D. M. Himmelblau, "Artificial Neural Network Models of Knowledge Representation in Chemical Engineering," Comput. Chem. Eng., 12, 881 (1988).
5. Jang, S. S., and W. L. Yang, "Dynamic Optimization of Batch Emulsion Polymerization of Vinyl Acetate - An Orthogonal Polynomial Initiator Policy," Chem. Eng. Sci., 44, 515 (1989).
6. Joseph, B., and F. Wang Hanratty, "Predictive Control of Quality in a Batch Manufacturing Process Using Artificial Neural Network Models," Ind. Eng. Chem. Res., 23, 1951 (1993).
7. Klein, R. A., "Achieve Total Quality Management," Chem. Eng. Process, 87, 83 (1991).
8. Kozub, D., and J. F. MacGregor, "State Estimation for Semi-Batch Polymerization Reactors," Chem. Eng. Sci., 47(5), 1047 (1992).
9. Kramer, M. A., and J. A. Leonard, "Diagnosis Using Back Propagation Neural Networks - Analysis and Criticism," Comput. Chem. Eng., 14, 1323 (1990).
10. Kramer, M. A., M. L. Thompson, and P. M. Bhagat, "Embedding Theoretical Model in Neural Networks," ACC/WA14, 475 (1992).
11. Levinson, W. A., "Make the Most of Control Charts," Chem. Eng. Process, 88, 86 (1992).
12. Lindemann, M. A. "The Mechanism of Vinyl Acetate Polymerization," in Kinetics and Mechanisms of Polymerization, Vol. 1, Vinyl Polymerization, Part I, Marcel Dekker, New York, p. 207 (1967).
13. Pao, Y., Adaptive Pattern Recognition and Neural Networks, Addison-Wesley, Reading, MA (1989).
14. Penlidis, A., J. F. MacGregor, and A. E. Hamielec, "A Theoretical and Experimental Investigation of the Batch Emulsion Polymerization of Vinyl Acetate," Polym. Process Eng., 13, 185 (1985).
15. Penlidis, A., J. F. MacGregor, and A. E. Hamielec, "Effect of Impurities on Emulsion Polymerization: Case I Kinetics," J. Appl. Poly., 35, 2023 (1988).
16. Psichogios, D. C., and L. H. Ungar, "A Hybrid Neural Network-First Principles Approach to Process Modeling," AlChE J., 38, 1499 (1992).
17. Psichogios, D. C., and L. H. Ungar, "Direct and Indirect Model Based Control Using Artificial Neural Networks," Ind. Eng. Chem. Res., 30, 2564 (1991).
18. Ripley, B. D., "Statistical Aspects of Neural Networks," Networks and Chaos: Statistical and Probabilistic Aspects, Chapman & Hall, London, p. 40 (1993).
19. Rumelhart, D. E., G. E. Hinton, and R. J. Willams, "Learning Internal Representation by Error Propagation," Parallel Distributed Processing, Vol. 1, MIT Press, Cambridge, MA, p. 318 (1986).
20. Sarle, W. S., "Neural Networks and Statistical Model," Proc. of the SAS Users Group Int. Conf., Dallas, TX (Apr., 1994).
21. Thompson, M. L., and M. A. Kramer, "Modeling Chemical Processes Using Prior Knowledge and Neural Networks," AIChE J., 40, 1328 (1994).
22. Venkatasubramanian, V., and K. A. Chan, "A Neural Network Methodology for Process Fault Diagnosis," AIChE J., 35, 1993 (1989).
23. Whitely, J. R., and J. Davis, "Knowledge-Based Interpretation of Sensor Patterns," Comput. Chem. Eng., 16, 329 (1992).