A path constrained method for integration of process design and control

Computers and Chemical Engineering

Volumn 32, Issue 7, 2008, Pages 1373-1384

  Patel, Jigar ^a   Uygun, Korkut ^a   Huang, Yinlun ^a  

^a Wayne State University   (United States)

Author keywords

Bi level optimization; Integration of process design and control; Linear quadratic regulator

Indexed keywords

ALGORITHMS; CLOSED LOOP SYSTEMS; CONSTRAINT THEORY; EVAPORATORS; OPTIMIZATION;

BI-LEVEL OPTIMIZATION; LINEAR QUADRATIC REGULATOR;

PROCESS DESIGN;

ALGORITHMS; CLOSED LOOP SYSTEMS; CONSTRAINT THEORY; EVAPORATORS; OPTIMIZATION; PROCESS DESIGN;

EID: 42949158158     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2007.06.005     Document Type: Article

References (55)

1. Banerjee A., and Arkun Y. Model predictive control of plant transitions using a new identification technique for interpolating nonlinear models. Journal of Process Control 8 5/6 (1998) 441-457
2. Bansal V., Perkins J.D., Pistikopoulos E.N., Ross R., and Van schijndel J.M.G. Simultaneous design and control optimization under uncertainty. Computers & Chemical Engineering 24 2-7 (2000) 261-266
3. Bemporad A., Morari M., Dua V., and Pistikopoulos E.N. The explicit linear quadratic regulator for constrained systems. Automatica 38 1 (2002) 3-20
4. Bequette B.W. Nonlinear control of chemical processes: A review. Industrial & Engineering Chemistry Research 30 7 (1991) 1391-1413
5. Brengel D., and Seider W. Coordinated design and control optimization of non linear processes. Computers & Chemical Engineering 16 9 (1992) 861-886
6. Bristol E.H. On a new measure of interaction for multivariable process control. IEEE Transactions on Automatic Control AC-11 (1966) 133-134
7. Bryson A.E., and Ho Y.C. Applied optimal control: Optimization, estimation, and control (1975), John Wiley & Sons, New York
8. Chachuat B., Singer A.B., and Barton P. Global mixed-integer dynamic optimization. AIChE Journal 51 8 (2005) 2235-2253
9. Chintapalli P.S.R.K., and Douglas J.M. The use of economic performance measures to synthesize optimal control systems. Industrial & Engineering Chemistry Fundamentals 14 1 (1975) 1-10
10. Dimitriadis V., and Pistikopoulos E.N. Flexibility analysis of dynamic systems. Industrial & Engineering Chemistry Research 34 12 (1995) 4451-4462
11. El-Halwagi M.M. Pollution prevention through process integration: Systematic design tools (1997), Academic Press, New York
12. El-Halwagi M.M., and Manousiouthakis V. Synthesis of mass exchange networks. AIChE Journal 35 8 (1989) 1233-1244
13. Elliott T.R., and Luyben W.L. Capacity-based economic approach for the quantitative assessment of process controllability during the conceptual design state. Industrial & Engineering Chemistry Research 34 11 (1995) 3907-3915
14. Fisher W.R., Doherty M.F., and Douglas J.M. The interface between design and control. 1. Process controllability. Industrial & Engineering Chemistry Research 27 4 (1988) 597-605
15. Floudas C.A., and Grossmann I.E. Synthesis of flexible heat exchanger networks for multiperiod operation. Computers & Chemical Engineering 10 2 (1986) 153-168
16. Georgakis C., Uztürk D., Subramanian S., and Vinson D.R. On the operability of continuous processes. Control Engineering Practice 11 8 (2003) 859-869
17. Grancharova A., and Johansen T. Approximate explicit model predictive control incorporating heuristics. Proceedings of IEEE International Symposium on Computer Aided Control System Design (2002), IEEE 92-97
18. Grosdidier P., Morari M., and Holt B. Closed-loop properties from steady-state gain information. Industrial & Engineering Chemistry Fundamentals 24 2 (1985) 221-235
19. Ho F.G., and Keller II G.E. Process integration. In: Liu Y.A., McGee Jr. H.A., and Epperly W.R. (Eds). Recent development in chemical process and plant design (1987), Wiley, New York 101-126
20. Huang Y.L., and Fan L.T. A distributed strategy for integration of process design and control: A knowledge engineering approach to the incorporation of controllability into exchanger network synthesis. Computers & Chemical Engineering 16 (1992) 497-522
21. Johansen T.A., Petersen I., and Slupphaug O. Explicit sub-optimal linear quadratic regulation with state and input constraints. Automatica 38 7 (2002) 1099-1111
22. Kalman R.E. Contribution to the theory of optimal control. Boletín de la Sociedad Matemática Mexicana 5 (1960) 102-119
23. Kalman R.E. A new approach to linear filtering and prediction problems. Transactions of ASME, Journal of Basic Engineering (1960) 33-45
24. Kookos I., and Perkins J.D. An algorithm for simultaneous process design and control. Industrial & Engineering Chemistry Research 40 19 (2001) 4079-4088
25. Lewis F.L. Applied optimal control and estimation: Digital design and implementation (1992), Prentice Hall, New Jersey
26. Linnhoff B., Townsend D.W., Boland D., Hewitt G.F., Thomas B.E.A., Guy A.R., et al. User guide on process integration for the efficient use of energy (1982), The Institute of Chemical Engineering, London
27. Loeblein C., and Perkins J.D. Structural design for on-line process optimisation. I. Dynamic economics of MPC. AIChE Journal 45 5 (1999) 1018-1029
28. Luyben M.L., and Floudas C.A. Analyzing the interaction of design and control. 1. A multiobjective framework and application to binary distillation synthesis. Computers & Chemical Engineering 18 10 (1994) 933-969
29. Luyben M.L., and Floudas C.A. Analyzing the interaction of design and control. 2. Reactor-separator-recycle system. Computers & Chemical Engineering 18 10 (1994) 971-994
30. McAvoy T.J. Integration of process design and process control. In: Liu Y.A., McGee Jr. H.A., and Epperly W.R. (Eds). Recent development in chemical process and plant design (1987), Wiley, New York 289-325
31. Morari M. Design of resilient processing plants. III. A general framework for the assessment of dynamic resilience. Chemical Engineering Science 38 11 (1983) 1881-1891
32. Morari M. Effect of design on the controllability of continuous plants. In: Perkins J.D. (Ed). Proceedings of IFAC workshop on interactions between process design and process control (1992), Pergamon Press, UK
33. Morari M., and Lee J.H. Model predictive control: Past, present and future. Computers & Chemical Engineering 23 4 (1999) 667-682
34. Morari M., and Zafiriou E. Robust process control (1989), Prentice-Hall, New Jersey
35. Newell R.B., and Lee P.L. Applied process control-A case study (1989), Prentice Hall, New Jersey
36. Perkins J.D., and Walsh S.P.K. Optimization as a tool for design/control integration. In: Zafiriou E. (Ed). Proceedings of IFAC Workshop on Integration of Process Design and Control (1994), Elsevier, Oxford
37. Pistikopoulos E.N., Dua V., Bozinis N.A., Bemporad A., and Morari M. On-line optimization via off-line parametric optimization tools. Computers & Chemical Engineering 26 2 (2002) 175-185
38. Ricker N. Decentralized control of the Tennessee Eastman challenge process. Journal of Process Control 6 4 (1996) 205-221
39. Rossiter A.P., Spriggs H.D., and Klee H. Apply process integration to waste minimization. Chemical Engineering Progress 89 1 (1993) 30-36
40. Sakizlis V., Perkins J.D., and Pistikopoulos E.N. Parametric controllers in simultaneous process and control design optimization. Industrial & Engineering Chemistry Research 42 20 (2003) 4545-4563
41. Sakizlis V., Perkins J.D., and Pistikopoulos E.N. Recent advances in optimization-based simultaneous process and control design. Computers & Chemical Engineering 28 10 (2004) 2069-2086
42. Sakizlis V., Perkins J.D., and Pistikopoulos E.N. Explicit solutions to optimal control problems for constrained continuous-time linear systems. IEE Proceedings Control Theory and Applications 152 4 (2005) 443-452
43. Sheffield R.E. Integrate process and control system design. Chemical Engineering Progress 88 10 (1992) 30-35
44. Shinskey F.G. Process control systems. 4th ed. (1995), McGraw-Hill, New York
45. Shunta J. Achieving world class manufacturing through process control (1995), Prentice-Hall, Englewood Cliffs
46. Subramanian S., and Georgakis C. Methodology for the steady-state operability analysis of plantwide systems. Industrial & Engineering Chemistry Research 44 20 (2005) 7770-7786
47. Swaney R.E., and Grossmann I.E. An index for operational flexibility in chemical process design. Part I. Formulation and theory. AIChE Journal 31 4 (1985) 621-630
48. Swaney R.E., and Grossmann I.E. An index for operational flexibility in chemical process design. Part II. Computational algorithms. AIChE Journal 31 4 (1985) 631-641
49. Swartz C., Perkins J.D., and Pistikopoulos E.N. Incorporation of controllability in process design through controller parameterization. Proceedings of process control and instrumentation (2000), University of Strathclyde 49-54
50. Uygun, K. (2004). Dynamic modeling, analysis and optimization of complex chemical and metabolic systems. Ph.D. dissertation. Detroit: Wayne State University.
51. Walsh, S., & Perkins, J. (1996). Operability and control in process synthesis and design. In Wei, J. (Ed.), Advances in Chemical Engineering, 26, 301-402.
52. Yan Q.Z., Yang Y.H., and Huang Y.L. Design of a cost-effective and highly controllable heat exchanger network with bypasses using a disturbance propagation and control model. AIChE Journal 47 10 (2001) 2253-2276
53. Yang Y.H., Gong J.P., and Huang Y.L. A simplified model for rapid evaluation of disturbance propagation through a heat exchanger network. Industrial & Engineering Chemistry Research 35 12 (1996) 4550-4558
54. Yang Y.H., Lou H.H., and Huang Y.L. A structural disturbance propagation model for the conceptual design of highly controllable heat-integrated reaction systems. Chemical Engineering Communications 192 8 (2005) 1096-1115
55. Zhu G., and Henson M. Model predictive control of interconnected linear and nonlinear processes. Industrial & Engineering Chemistry Research 41 4 (2002) 801-816