Robust disturbance modeling for model predictive control with application to multivariable ill-conditioned processes

Journal of Process Control

Volumn 13, Issue 8, 2003, Pages 693-701

  Pannocchia, Gabriele ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

Disturbance modeling; Ill conditioned systems; MPC

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; PLANT MANAGEMENT; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS);

DISTURBANCE MODELING;

PREDICTIVE CONTROL SYSTEMS;

EID: 0141828991     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0959-1524(02)00134-8     Document Type: Article

References (31)

1. Richalet J., Rault J., Testud J.L., Papon J. Model predictive heuristic control. applications to industrial processes Automatica. 14:1978;413-1554.
2. C.R. Cutler, B.L. Ramaker, Dynamic matrix control - a computer algorithm, in: AIChE 86th National Meeting, Houston, TX, 1979.
3. M. Morari, J.H. Lee, Model predictive control: the good, the bad and the ugly, in: Fourth International Conference on Chemical Process Control, Elsevier, 1991, pp. 419-444.
4. Lee J.H., Morari M., Garcia C.E. State-space interpretation of model predictive control. Automatica. 30:1994;707-717.
5. Muske K.R., Rawlings J.B. Model predictive control with linear models. AIChE J. 39:1993;262-287.
6. Clarke D.W., Mohtadi C., Tuffs P.S., Generalized predictive control-part 1 I. The basic algorithm. Automatica. 23:1987;137-148.
7. Muske K.R., Badgwell T.A. Disturbance modeling for offset-free linear model predictive control. J. Proc. Cont. 12:2002;617-632.
8. G. Pannocchia, J.B. Rawlings, Disturbance models for offset-free model predictive control, AIChE J. 49 (2003) 426-437.
9. F.G. Shinskey, Feedback Controllers for the Process Industries, McGraw-Hill, 1994.
10. Lundström P., Lee J.H., Morari M., Skogestad S. Limitations of dynamic matrix control. Comput. Chem. Eng. 19:1995;409-421.
11. Clarke D.W., Mohtadi C. Properties of generalized predictive control. Automatica. 25:1989;859-875.
12. Kouvaritakis B., Rossiter J.A., Chang A.O.T. Stable generalised predictive control. an algorithm with guaranteed stability IEE Proc.-D. 139:1992;349-362.
13. Yoon T.-W., Clarke D.W. Observer design in receding-horizon predictive control. Int. J. Control. 61:1995;171-191.
14. C. Prada, J. Serrano, P. Vega, M.A. Piera, A comparative study of DMC and GPC controllers, in: D.W. Clarke (Ed.), Model-Based Predictive Control, Oxford, 1994, pp. 38-52.
15. Cloud D.J., Kouvaritakis B. Characteristic decomposition and the multivariable generalization of predictive self-tuning control. IEE Proc.-D. 135:1988;161-181.
16. Mohtadi C., Shah S.L., Fisher D.G. Frequency response characteristic of MIMO GPC. Int. J. Control. 55:1992;877-900.
17. Skogestad S., Morari M. Implication of large RGA-elements on control performance. Ind. Eng. Chem. Res. 26:1987;2323-2330.
18. Brambilla A., D'Elia L. Multivariable controller for distillation columns in the presence of strong directionality and model errors. Ind. Eng. Chem. Res. 31:1992;536-543.
19. Hovd M., Skogestad S. Simple frequency-dependent tools for control system analysis, structure selection and design. Automatica. 28:1992;989-996.
20. Semino D., Pannocchia G. Robust multivariable inverse-based controllers. theory and application Ind. Eng. Chem. Res. 38:1999;2375-2382.
21. M. Morari, E. Zafiriou, Robust Process Control, Prentice Hall, 1989.
22. Chang J.-W., Yu C.-C. Failure conditions for inverse-based multivariable controllers. internal model control structure Chem. Eng. Sci. 47:1992;2047-2056.
23. Semino D., Scali C., Brambilla A. Design of double filter IMC controllers for ill-conditioned distillation columns. Comput. Chem. Eng. 17:1993;1041-1046.
24. G. Pannocchia, D. Semino, Optimal modified models for robust predictive controllers, in: 14th IFAC World Congress, Vol. N-7, Beijing, China, 1999, pp. 157-162.
25. S.J. Qin, T.A. Badgwell, An overview of industrial model predictive control technology, in: J.C. Kantor, C.E. Garcia, B. Carnahan (Eds.), Fifth International Conference on Chemical Process Control, AIChE Symposium Series 316, 93, 1997, pp. 232-256.
26. Davison E.J., Smith H.W. Pole assignment in linear time-invariant multivariable systems with constant disturbances. Automatica. 7:1971;489-498.
27. Kothare M.V., Balakrishnan V., Morari M. Robust constrained model predictive control using linear matrix inequalities. Automatica. 32:1996;1361-1379.
28. J.B. Rawlings, Tutorial: model predictive control technology, in: American Control Conference, San Diego, CA, USA, 1999, pp. 662-676.
29. Chmielewski D., Manousiouthakis V. On constrained infinite-time linear quadratic optimal control. Sys. Cont. Let. 29:1996;121-129.
30. Scokaert P.O.M., Rawlings J.B. Constrained linear quadratic regulation. IEEE Trans. Auto. Cont. 43:1998;1163-1169.
31. J. Nocedal, S.J. Wright, Numerical Optimization, Springer, 1999.