Plant-wide control strategy applied to the Tennessee Eastman process at two operating points

Computers and Chemical Engineering

Volumn 35, Issue 10, 2011, Pages 2081-2097

  Molina, G D ^a,b   Zumoffen, D A R ^a,c   Basualdo, M S ^a,b  

^a CONICET ^*  (Argentina)

^b UNIVERSIDAD NACIONAL DE ROSARIO   (Argentina)

^c UNIVERSIDAD TECNOLÓGICA NACIONAL   (Argentina)

Author keywords

Controllability; Disturbance rejection; Optimum energy consumption; Plant wide control

Indexed keywords

COMBINATORIAL OPTIMIZATION PROBLEMS; COMPUTATIONAL EFFORT; CONTROL STRUCTURE; CONTROLLED VARIABLES; FROBENIUS NORM; HIGH DIMENSIONS; INPUT-OUTPUT; LOAD EFFECTS; MATHEMATICAL DEMONSTRATION; NORMALIZED GAINS; OBJECTIVE FUNCTIONS; OPERATING POINTS; OPTIMUM ENERGY CONSUMPTION; PLANT INFORMATION; PLANT-WIDE CONTROL; PROBLEM DIMENSIONALITY; PROCESS INTERACTION; RELATIVE GAIN ARRAY; SETPOINTS; TENNESSEE EASTMAN; TENNESSEE EASTMAN PROCESS; WORKING POINT;

CHEMICALS; COMBINATORIAL OPTIMIZATION; COMPUTER SIMULATION; DISTURBANCE REJECTION; DYNAMIC MODELS; ENERGY UTILIZATION; GENETIC ALGORITHMS; MULTIVARIABLE CONTROL SYSTEMS; OPTIMIZATION;

CHEMICAL PLANTS;

EID: 80051473374     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2010.11.006     Document Type: Article

References (42)

1. Alstad V., Skogestad S. Null space method for selecting optimal measurement combinations as controlled variables. Industrial and Engineering Chemistry Research 2007, 46:846-853.
2. Arkun Y., Downs J. A general method to calculate input-output gains and the relative gain array for integrating processes. Computers and Chemical Engineering 1990, 14(10):1101-1110.
3. Banerjee A., Arkun Y. Control configuration design applied to the Tennessee Eastman plant-wide control problem. Computers and Chemical Engineering 1995, 19(4):453-480.
4. Bristol E.H. On a new measure of interaction for multivariable process control. IEEE Transaction of Automatic Control 1966, 11:133-134.
5. Buckley P.S. Techniques of process control 1964, Willey.
6. Cao Y., Kariwala V. Bidirectional branch and bound for controlled variable selection. 1. Principles and minimum singular value criterion. Computers and Chemical Engineering 2008, 32:2306-2319.
7. Cao Y., Saha P. Improved branch and bound method for control structure screening. Chemical Engineering Science 2005, 60:1555-1564.
8. Chang J.-W., Yu C.-C. The relative gain for non-square multivariables systems. Computers and Chemical Engineering 1990, 45(4):1309-1323.
9. Chang J.-W., Yu C.-C. Relative disturbance gain array. AIChE Journal 1992, 38(4):521-534.
10. Chipperfield A., Fleming P., Pohlheim H., Fonseca C. Genetic algorithm toolbox 1994, University of Sheffield. Department of Automatic Control and System Engineering. 3rd ed.
11. Downs J., Vogel E. A plant-wide industrial process control problem. Computers and Chemical Engineering 1992, 17(3):245-255.
12. Garcia C., Morari M. Internal model control. 2. Design procedure for multivariable systems. Industrial and Engineering Chemistry Product Research and Development 1985, 24:472-484.
13. Golub G., Van Loan C. Matrix computations 1996, The Johns Hopkins University Press. 3rd ed.
14. Grosdidier P., Morari M., Holt B. Closed-loop properties from steady-state gain information. Industrial and Engineering Chemistry Research Fundamentals 1985, 24:221-235.
15. He M.-J., Cai W.-J., Ni W., Xie L.-H. Rnga based control system configuration for multivariable processes. Journal of Process Control 2009, 19:1036-1042.
16. Horn R., Johnson C. Matrix analysis. 1990, Cambridge University Press.
17. Jorgensen J., Jorgensen S. Towards automatic decentralized control structure selection. Chemical Engineering Science 2000, 24:841-846.
18. Konda M., Rangaiah G., Krishnaswamy P. Plantwide control of industrial processes: An integrated framework of simulation and heuristics. Industrial and Engineering Chemistry Research 2005, 44:8300-8313.
19. Larsson T., Hestemtum K., Hovland E., Skogestad S. Self-optimizing control of a large-scale plant: The Tennessee Eastman process. Industrial and Engineering Chemistry Research 2001, 40(22):4889-4901.
20. Larsson T., Skogestad S. Plantwide control-A review and a new design procedure. Modeling, Indentification and Control 2000, 21(4):209-240.
21. Luyben M., Luyben W. Essentials of process control 1997, McGraw-Hill.
22. Luyben W.L., Tyreus B.D., Luyben Plant-wide process control 1998, McGraw-Hill.
23. McAvoy T. A methodology for screening level control structures in plantwide control systems. Computers and Chemical Engineering 1998, 22(11):1543-1552.
24. McAvoy T., Ye N. Base control for the tennnessee eastman challenge process. Computers and Chemical Engineering 1995, 19:453-480.
25. Molina G., Zumoffen D., Basualdo M. A new systematic approach to find plantwide control structures. Computer Aided Chemical Engineering 2009, 27:1599-1604.
26. Musulin E., Bagajewicz M., Nougúes J., Puigjaner L. Instrumentation design and upgrade for principal components analysis monitoring. Industrial and Engineering Chemistry Research 2004, 43:2150-2159.
27. Musulin E., Yelamos I., Puigjaner L. Integration of principal component analysis and fuzzy logic systems for comprehensive process fault detection and diagnosis. Industrial and Engineering Chemistry Research 2006, 45:1739-1750.
28. Niederlinsky A. A heuristic approach to the design of linear multivariable control systems. Automatica 1971, 7:691.
29. Nieto N., Zumoffen D., Basualdo M., Outbib R. Systematic control structure design of a fuel processor system. International Conference on Renewable Energy, Al-Ain, United Arab Emirates 2010.
30. Ricker N. Optimal steady-state operation of the Tennessee Eastman challenge process. Computers and Chemical Engineering 1995, 19(9):1949-1959.
31. Ricker N. Decentralized control of the Tennessee Eastman challenge process. Journal of Process Control 1996, 6(4):205-221.
32. Rivera D.E., Morari M., Skogestad S. Internal model control. 4. Pid controller design. Industrial and Engineering Chemistry Research 1986, 25:252-265.
33. Robinson D., Chen R., McAvoy T., Schnelle D. An optimal control based approach to designing plantwide control system architectures. Journal of Process Control 2001, 11:223-236.
34. Skogestad S. Plantwide control: The search for self-optimizing control structure. Journal of Process Control 2000, 10:487-503.
35. Skogestad S. Control structure design for complete chemical plants. Computers and Chemical Engineering 2004, 28:219-234.
36. Skogestad S., Postlethwaite I. Multivariable feedback control. Analysis and design 2005, John Wiley & Sons.
37. Skogetad S., Morari M. Implications of large RGA elements on control performance. Industrial and Engineering Chemistry Research 1987, 26:2323-2330.
38. Suraj Vasudevan S., Rangaiah N., Konda M., Tay W. Application and evaluation of three methodologies for plantwide control of the styrene monomer plant. Industrial and Engineering Chemistry Research 2009, 48:10941-10961.
39. Zumoffen D., Basualdo M. Optimal sensor location for chemical process accounting the best control configuration. Computer Aided Chemical Engineering 2009, 27:1593-1598.
40. Zumoffen D., Basualdo M. A systematic approach for the design of optimal monitoring systems for large scale processes. Industrial and Engineering Chemistry Research 2010, 49:1749-1761.
41. Zumoffen D., Basualdo M., Ruiz J. Optimal multivariable control structure design for chemical plants. AIChE Annual Meeting. Nashville, TN, USA 2009.
42. Zumoffen D., Molina G., Basualdo M. Plant-wide control based on minimum square deviation. IFAC International Symposium on Dynamics and Control of Process Systems, Leuven, Belgium 2010, 443-448.