A pulp mill benchmark problem for control: Application of plantwide control design

Journal of Process Control

Volumn 14, Issue 3, 2004, Pages 329-347

  Castro, J J ^a,c   Doyle III, F J ^b  

^a UNIVERSITY OF DELAWARE   (United States)

^b University of California   (United States)

^c Weyerhaeuser Co   (United States)

Author keywords

Decentralized control; Model predictive control; Plantwide control; Pulp mill

Indexed keywords

BENCHMARKING; CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; DECENTRALIZED CONTROL; PAPER AND PULP MILLS; PREDICTIVE CONTROL SYSTEMS; PROBLEM SOLVING;

MULTI-LOOP STRATEGIES; PLANTWIDE CONTROL;

PROCESS CONTROL;

EID: 0345375487     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0959-1524(03)00012-X     Document Type: Article

References (29)

1. Åström K.J., Hagglund T. Automatic tuning of simple regulators with specifications on phase and amplitude margin. Automatica. 20(5):1984;645-651.
2. Arkun Y., Downs J. A general method to calculate input-output gains and the rga for integrating processes. Comput. Chem. Engng. 14(10):1990;1101-1110.
3. Banerjee A., Arkun Y. Control configuration design applied to the Tennessee Eastman plant-wide control problem. Comput. Chem. Engng. 19(4):1995;453-480.
4. Buckley P.S. Techniques of Process Control. 1964;John Wiley & Sons, New York.
5. Castro J.J., Doyle F.J. III Plantwide control of the fiber line in a pulp mill. Ind. Eng. Chem. Res. 41(5):2002;1310-1320.
6. Hovd M., Skogestad S. Pairing criteria for decentralized control of unstable plants. Ind. Eng. Chem. Res. 33:1994;2134-2139.
7. Kanadibhotla R.S., Riggs J.B. Nonlinear model based control of a recycle reactor process. Comput. Chem. Engng. 19(8):1995;933-948.
8. Lee J.H., Gelormino M.S., Moran M. Model predictive control of milti-rate sample-data systems. a state-space approach Int. J. Control. 55(1):1992;153-191.
9. Lee J.H., Moran M., Garcia G.E. A state-space interpretation of model predictive control. Automatica. 30(4):1994;707-717.
10. Loeblein C., Perkins J.D. Structural design for on-line process optimization: I. Dynamic economics of mpc. AIChE J. 45(5):1999;1018-1029.
11. Loeblein C., Perkins J.D. Structural design for on-line process optimization: II. Application to a simulated fcc. AIChE J. 45(5):1999;1030-1040.
12. Luyben M.L., Luyben W.L. Design and control of a complex process involving two reaction steps, three distillation columns, and two recycle streams. Ind. Eng. Chem. Res. 34(11):1995;3885-3898.
13. Luyben M.L., Tyreus B.D., Luyben W.L. Plantwide control design procedure. AIChE J. 43(12):1997;3161-3174.
14. Luyben W.L., Tyreus B.D., Luyben M.L. Plantwide Process Control. 1998;MacGraw Hill, New York.
15. Lyman P.R., Georgakis C. Plant-wide control of the Tennessee Eastman problem. Comput. Chem. Engng. 19(3):1995;321.
16. McAvoy T.J., Ye N. Base control for the Tennessee Eastman problem. Comput. Chem. Engng. 18(5):1994;383-413.
17. McAvoy T.J., Ye N., Gang C. Nonlinear inferential parallel cascade control. Ind. Eng. Chem. Res. 35(1):1996;130-137.
18. Moran M., Arkun Y., Stephanopolous G. Studies in the synthesis of control structures for chemical processes, Part I. Formulation of the problem. Process decomposition and classification of control tasks. Analysis of the optimizing control structures. AIChE J. 26(1):1980;220-231.
19. Moran M., Arkun Y., Stephanopolous G. Studies in the synthesis of control structures for chemical processes, Part II. Structural aspect and the synthesis of alternative feasible control schemes. AIChE J. 26(1):1980;232-246.
20. Moran M., Arkun Y., Stephanopolous G. Studies in the synthesis of control structures for chemical processes, Part III. Optimal selection of secondary measurements within the framework of state estimation in the presence of persistent unknown disturbances. AIChE J. 26(1):1980;247-260.
21. B.A. Ogunnaike, R.K. Pearson, N. Samardzija, J.D. Bomberger. Low order empirical modeling for nonlinear systems. In: IFA C Symposium on Advanced Control of Chemical Processes, Elsevier Science, Kyoto, 1994, pp. 41-46.
22. Ogunnaike B.A., Ray W.H. Process Dynamics, Modeling, and Control. 1994;Oxford University Press, New York, NY.
23. Price R.M., Georgakis C. Plantwide regulatory control design procedure using a tiered framework. Ind. Eng. Chem. Res. 32(11):1993;2693-2705.
24. Ricker N.L. Decentralized control of the Tennessee Eastman challenge process. J. Proc. Cont. 6(4):1996;205-221.
25. Ricken N.L., Lee J.H. Nonlinear model predictive control of the Tennessee Eastman challenge process. Comput. Chem. Engng. 19(9):1995;961-981.
26. Rivera D.E., Moran M., Skogestad S. Internal model control 4. PID controller design. Ind. Eng. Chem., Process Des. Dev. 25(1):1986;252-265.
27. Skogestad S., Postlethwaite I. Multivariable Feedback Control, Analysis and Design. 1996;John Wiley and Sons, New York, NY.
28. T. Umeda, T. Kuriyama, A. Ichidawa. A logical structure for process control system synthesis. In: IFAC World Congress, Elsevier Science, Helsinki, 1978.
29. Zheng A., Mahajanam R.V., Douglas J.M. Hierarchical procedure for plantwide control system synthesis. AIChE J. 45(6):1999;1255-1265.