Integrating systems design and control using dynamic flexibility analysis

AIChE Journal

Volumn 53, Issue 8, 2007, Pages 2048-2061

  Malcolm, Andrés ^a   Polan, Jamie ^a   Zhang, Libin ^a   Ogunnaike, Babatunde A ^b   Linninger, Andreas A ^c  

^a University of Illinois at Chicago   (United States)

^b University of Delaware   (United States)

^c UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Design and control integration; Dynamic flexibility; Optimization; Uncertainty

Indexed keywords

CHEMICAL PROCESS; DYNAMIC FLEXIBILITY; DYNAMIC FLEXIBILITY ANALYSIS; REALIZABLE CONTROL;

DECISION THEORY; EMBEDDED SYSTEMS; ENERGY DISSIPATION; FEEDBACK; OPTIMIZATION; PROCESS DESIGN; UNCERTAINTY ANALYSIS;

SYSTEMS ANALYSIS;

DECISION THEORY; EMBEDDED SYSTEMS; ENERGY DISSIPATION; FEEDBACK; OPTIMIZATION; PROCESS DESIGN; SYSTEMS ANALYSIS; UNCERTAINTY ANALYSIS;

EID: 34547661886     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.11218     Document Type: Article

References (85)

1. Seider WD, Seader JD, Lewin DR. Product & process design principles. Hoboken: John Wiley and Sons; 2004.
2. Edgar TF, Himmelblau DM, Lasdon LS. Optimization of chemical processes. New York: Mc Graw Hill; 2001.
3. Stephanopoulos G. Chemical process control - an introduction into theory and practice. New York: Prentice Hall PTR; 1984.
4. Seborg DE, Edgar TF, Mellichamp DA. Process dynamics and control. Hoboken: John Wiley and Son; 1989.
5. Ogunnaike BA, Ray WH. Process dynamics, modeling and control. New York: Oxford University Press; 1994.
6. Doyle III FJ. Process control modules: a software laboratory for control design. Upper Saddle River: Prentice Hall International; 2000.
7. Riggs JB. Chemical process control. Lubbock, Texas: Ferret Publishing; 2001.
8. Halemane KP, Grossmann IE. Optimal process design under uncertainty. AIChE J. 1983;29:425-433.
9. Grossman IE. Mixed integer programming approach for the synthesis of integrated process flowsheets. Comp Chem Eng. 1985;9:463.
10. Swaney RE, Grossmann IE. An index for operational flexibility in chemical process design - part I: formulation and theory. AIChE J. 1985;31:621.
11. 11: Grossmann IE, Floudas CA. Active constraint strategy for flexibility analysis in chemical processes. Comp Chem Eng. 1987;11:675.
12. Huang YL, Fan LT. A Distributed strategy for integration of process design and control: A knowledge engineering approach to the incorporation of controllability into exchanger network synthesis. Comput Chem Eng. 1992;16(5):497-522.
13. Bansal V, Perkins JD, Pistikopoulos EN. A case study in simultaneous design and control using rigorous mixed integer dynamic optimization models. Ind Eng Chem Res. 2002;41:760-778.
14. Bansal V, Perkins JD, Pistikopoulos EN, Ross R, Van Schijndel JMG. Simultaneous design and control optimization under uncertainty. Comp Chem Eng. 2000;24(2-7):261-266.
15. Fichtner G, Reinhart HJ, Rippin DWT. The design of flexible chemical plants by the application of interval mathematics. Comp Chem Eng. 1990;14(11):1311-1316.
16. Liu ML, Sahinidis NV. Optimization in process planning under uncertainty. Ind Eng. Chem Res. 1996;35:4154-4164.
17. Clay RL, Grossmann IE. A disagregation algorithm for the optimization of stochastic planning models. Comp Chem Eng. 1997;21:751-774.
18. Van den Heever SA, Grossmann IE. Disjunctive multiperiod optimization methods for design and planning of chemical process systems. Comp Chem Eng. 1998;23:1075.
19. Chacon-Mondragon OL, Himmelblau DM. Integration of flexibility and control in process design. Comput Chem Eng. 1996;20(4):447-452.
20. Chacon-Mondragon L, Himmelblau DM. A new definition of flexibility for chemical process design. Comp Chem Eng. 1998; 12(5):383-387.
21. Ostrovski GM, Achenie LEK, Karalapakkam AM, Volin YM. Flexibility analysis of chemical processes: selected global optimization subproblems. Optimiz and Eng. 2002;3(1):31-52.
22. Raspanti CG, Bandoni JA, Biegler LT. New strategies for flexibility analysis and design under uncertainty. Comp Chem Eng. 2000; 12(7):719-731.
23. Floudas CA, Guemues ZH, Ierapetritou MG. Global optimization in design under uncertainty: feasibility test and flexibility index problems. Ind Eng Chem Res. 2001;40(20):4267-4282.
24. Saboo AK, Morari M, Woodcock DC. Design of resilient processing plants - VIII. A resilience index for heat exchanger networks. Chem Eng Sci. 1985;40:1553.
25. Kubic WL. The effect of uncertainties in physical properties on chemical process design. Bethlehem: Lehigh University; 1986. Ph.D. Dissertation.
26. Kubic WL, Stein FP. A theory of design reliability using probability and fuzzy sets. AIChE J. 1988;34:583.
27. Lasserre, B and Roubellat, F. Measuring decision. flexibility in production planning, IEEE Trans. A.C. 1985;30(5):447-452.
28. Pistikopoulos EN, Grossmann IE. Stochastic optimization of flexibility in retrofit design of linear systems. Comp Chem Eng. 1988; 12(12):1215-1227.
29. Pistikopoulos EN, Mazzuchi TAA. Novel flexibility analysis approach for processes with stochastic parameters. Comp Chem Eng. 1990;14:991.
30. Straub DA, Grossmann IE. Design optimization of stochastic flexibility. Comp Chem Eng. 1993;17:339.
31. Mulvey JM, Vanderbei RJ, Zenios SA. Robust optimization of large-scale systems under uncertainty. J Oper Res Soc. 1994;45: 1040.
32. Roy R. Design of experiments using Taguchi approach: 16 steps to product and process improvement. New York: John Wiley; 2001.
33. Pistikopoulos EN, Dimitriadis VD. Flexibility analysis of dynamic systems. Ind Eng Chem Res. 1995;34:4451-4462.
34. Mohideen MJ, Perkins JD. Pistikopoulos EN. Optimal design of dynamic systems under uncertainty. AIChE J. 1996;42(8):2251-2272.
35. Mohideen MJ, Perkins JD, Pistikopoulos EN. Optimal synthesis and design of dynamic systems under uncertainty. Comp Chem Eng. 1996;20(2):S895- S900.
36. Zheng D, Hoo KA. Low-order model identification for implementable control solutions of distributed parameter systems. Comp Chem Eng. 2002;26:1049-1076.
37. Brengel DD, Seider WD. Coordinated design and control optimization of nonlinear processes. Comp Chem Eng. 1992;16:861-886.
38. Kokossis AC, Floudas AA. Stability in optimal design: synthesis of complex reactor networks. AIChE J. 1994;40(5):849.
39. Kokossis AC, Floudas AA. Stability issues in process synthesis. Comp Chem Eng. 1994b;18:S93-S97.
40. Lewin DR. Multivariable feedforward control design using disturbance cost maps and a genetic algorithm. Comp Chem Eng. 1996; 20(12):1477-1489.
41. Mönnigmann M, Marquardt W. Steady-state process optimization with guaranteed robust stability and feasibility. AIChE J. 2003;49(12):110-3126.
42. Seferlis P, Georgiadis MC. The Integration of process design and control. New York: Elsevier; 2004.
43. Nyquist H. Regeneration theory. Bell Sys Tech J. 1932;11:126-147.
44. Bode HW. Network analysis and feedback amplifier design. Princeton: Van Nostrand; 1945.
45. Nichols NB. Backlash in a velocity lag servomechanism. Trans AIEE, Part II. 1954.
46. Rosenbrock HH. Computer-aided control system design. London: Academic Press; 1974.
47. Safonov MG, Athans M. Gain and phase margin for multiloop LQG regulators. IEEE trans Autom Cont. 1977;AC-22(2):173-179.
48. Dorato P, Yedavalli RK. Recent advances in robust control. New York: IEEE press; 1990.
49. Barmish BR. New tools for robustness analysis. 27th IEEE Decision and Control Conference. 1988;1:1-6.
50. Ackermann J. Robust control systems with uncertain physical parameters. London: Springer-Verlag; 1993.
51. Zhou K, Doyle JC, Glover K. Robust and optimal control. Prentice Hall; 1995.
52. Chandrasekharan PC. Robust control of linear dynamical systems. New York: Academic Press; 1996.
53. Chang YC. Robust H-infinity control for a class of uncertain nonlinear time-varying systems and its application. IEEE Proc. - Control Theory and Applications. 2004;151(5):601-609.
54. Wu JL, Lee TT. Robust h-infinity output feedback control for general nonlinear systems with structured uncertainty. J of the Chinese Inst of Engineers. 2004;27(7):1069-1075.
55. Dehghani A, Lanzon A, Anderson BDO. An H-infinity algorithm for the windsurfer approach to adaptive robust control. Int J of Adapt Contr and Sig Proc. 2004;18(8):607-628.
56. Lee JH, Braatz RD, Morari M, Packard A. Screening tools for robust control structure selection. Automatica. 1995;31:229-235.
57. Braatz RD, Lee JH, Morari M. Screening plant designs and control structures for uncertain systems. Comp Chem Eng. 1996;20:463-468.
58. 2 and hinfinity and mu-optimal control. Automatica. 1996;33:433-139.
59. Morari M, Lee JH. Model predictive control: past, present and future. Comp Chem Eng. 1999;23:667-682.
60. Zhu GY, Henson MA, Ogunnaike BA. A hybrid model predictive control strategy for nonlinear plant-wide control. J of Process Control. 2000;10(5):449-458.
61. Qin SJ, Badgwell TA. A survey of industrial model predictive control technology. Contr Eng Practice. 2003;11:733-764.
62. Qin SJ, Badgwell TA. An overview of nonlinear model predictive control applications. In: Allgöwer F, Zheng A. Nonlinear model predictive control. Basel: Birkhäuser, 2000:369-392.
63. Wang YJ, Rawlings JB. A new robust MPC method: I theory and computation. J. of Process Control. 2004;14(3):231-247.
64. Wang YJ, Rawlings JB. A new robust MPC method: II examples. J. of Process Control. 2004;14(3):249-262.
65. Martinsen F. Biegler LT, Foss BAA. New optimization algorithm with application in nonlinear MPC. J Process Control. 2004; 14(8):853-865.
66. Chakraborty A, Linninger AA. Plant-wide waste management 2. Decision making under uncertainty. Ind Eng Chem Res. 2003;42:357-369.
67. Chakraborty A, Colberg RD, Linninger AA. Plant-wide waste management 3. long-term operation and investment planning under uncertainty. Ind Eng Chem Res. 2003;42:4722-4788.
68. Feehery WF, Barton PI. Dynamic optimization with state variable path constraints, Comp Chem Eng. 1998;22(9):1241-1256.
69. Ierapetritou MG. New approach for quantifying process feasibility: convex and 1-d quasi-convex regions. AIChE J. 2001;47(6):1407-1417.
70. Hsia TC. System identification. Lexington: Lexington Books; 1977.
71. Ramirez WF. Process control and identification. San Diego: Academic Press; 1994.
72. Gelb A. ed. Applied optimal estimation. Cambridge: MIT Press; 1974.
73. Maner BR, Doyle FJ, Ogunnaike BA, Pearson RK. Nonlinear model predictive control of a simulated multivariable polymerization reactor using second-order Volterra models. Automatica. 1996;32(9): 1285-1301.
74. Asteasuain M, Brandolin A, Sarmoria C, Bandoni A. Simultaneous design and control of a semibatch styrene polymerization reactor. Ind Eng Chem Res. 2004;43(17):5233-5247.
75. Ogunnaike BA. On-line modeling and predictive control of an industrial terpolymerization reacto. Int J Control. 1994;59(3):711-729
76. Doherty MF, Malone MF. Conceptual design of distillation systems. New York: McGraw Hill; 2001.
77. Tomlab Optimization, http://tomlab.com.
78. Pistikopoulos EN, Dua V, Bozinis NA, Bemporad A, Morari M. Online optimization via off-line parametric optimization tools. Comp Chem Eng. 2002;26(2):175-185.
79. Pistikopoulos EN, Dua V, Bozinis NA, Bemporad A, Morari M. Online optimization via off-line parametric optimization tools. Comp Chem Eng. 2000;24(2-7):183-188.
80. Miletic I, Marlin T. Results analysis for real-time optimization (RTO): Deciding when to change the plant operation. Comp Chem Eng. 1996;20(S2):S1077-S1082.
81. BenAmor S, Doyle FJ, McFarlane R. Polymer grade transition control using advanced real-time optimization software. J of Process Control. 2004;14(4):349-364.
82. Van Overschee P, De Moor B. Subspace identification for linear systems. Norwell: Kluver Academic Publishers; 1996.
83. Sakizlis V, Perkins JD, Pistikopoulos EN. Recent advances in optimization-based simultaneous process and control design. Comput Chem Eng. 2004;28(10):2069-2086.
84. Sakizlis V, Kakalis NMP, Dua V, Perkins JD, Pistikopoulos N. Design of robust model-based controllers via parametric programming. Automatica. 2004;40(2):189-201.
85. Franklin GF, Powell JD, Workman ML. Digital control of dynamic systems. 2nd ed. Reading. MA: Addison-Wesley Pub; 1990.