Tuning MPC for desired closed-loop performance for MIMO systems

Proceedings of the American Control Conference

Volumn , Issue , 2011, Pages 4404-4409

  Shah, Gaurang ^a   Engell, Sebastian ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CONVEX OPTIMIZATION; COST FUNCTIONS; FREQUENCY DOMAIN ANALYSIS; LINEAR CONTROL SYSTEMS; MIMO SYSTEMS; MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS);

CLOSED-LOOP PERFORMANCE; CONVEX OPTIMIZATION PROBLEMS; FREQUENCY DOMAINS; LINEAR CONTROLLERS; PREDICTION AND CONTROL; PROCESS INDUSTRIES; ROBUST LINEAR CONTROL; SEMIDEFINITE PROGRAMMING PROBLEM;

CONTROLLERS;

EID: 80053147581     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acc.2011.5991581     Document Type: Conference Paper

References (30)

1. M. Morari, Advances in Model-Based Predictive Control, 1994, ch. Model Predictive Control: Multivariable Control Technique of Choice in the 1990s?
2. E. F. Camacho and C. Bordons, Model Predictive Control, Second ed. Springer-Verlag, 2004.
3. A. R. McIntosh, S. L. Shah, and D. G. Fisher, "Analysis and Tuning of Adaptive Generalized Predictive Control," The Canadian Journal of Chemical Engineering, vol. 69, no. 1, pp. 97-110, February 1991.
4. J. Ou and R. R. Rhinehart, "CV Damping Versus MV Suppression For MPC Tuning," in Proceedings of the American Control Conference, 2002, pp. 2695-2700.
5. J. Zhang and X. Yu-Geng, "Some GPC stability results," International Journal of Control, vol. 70, no. 5, pp. 831-840, 1998.
6. J. L. Garriga and M. Soroush, "Model Predictive Controller Tuning via Eigenvalue Placement," in Proceedings of the ACC 2008, June 2008, pp. 429-434.
7. B. Kouvaritakis and J. A. Rossiter, "Multivariable Nyquist self-tuning: a general approach," IEE Proceedings - Pt. D, vol. 136, no. 5, pp. 189-202, 1989. (Pubitemid 20596423)
8. C. Mohtadi, S. L. Shah, and D. G. Fisher, "Frequency response characteristics of MIMO GPC," International Journal of Control, vol. 55, no. 4, pp. 877-900, 1992.
9. R. Shridhar and D. J. Cooper, "A Tuning Strategy for Unconstrained SISO Model Predictive Control," Industrial and Engineering Chemistry Research, vol. 36, pp. 729-746, 1997. (Pubitemid 127493386)
10. D. W. Clarke and R. Scattolini, "Constrained Receding-Horizon Predictive Control," in IEE Proceedings-D, vol. 138, no. 4, 1991, pp. 347-354.
11. H.-W. Chiou and E. Zafiriou, "Frequency Domain Design of Robustly Stable Constrained Model Predictive Controllers," in American Control Conference, vol. 3, 1994, pp. 2852- 2856.
12. ∞ Loop Shaping,"in Proceedings of the American Control Conference, June 2000, pp. 1332-1336.
13. J. Fan, G. E. Stewart, and G. A. Dumont, "Two-dimensional frequency response analysis and insights for weight selection in cross-directional model predictive control," in 42nd IEEE Conference on Decision and Control, December 2003, pp. 3717-3723.
14. P. Vega, M. Francisco, and F. Tadeo, "Multiobjective optimization for automatic tuning of robust model based predictive controllers,"in Proceedings of the 17th IFAC WC, Seoul, South Korea, July 2008, pp. 6980-6985.
15. X. Yu-Geng and Z. Qun-Liang, "New Approach to Designing Constrained Predictive Controllers," ACTA AUTOMATICA SINICA, vol. 31, no. 5, pp. 655-661, 2005.
16. S. Boyd, V. Balakrishnan, E. Feron, and L. ElGhaoui, "Control System Analysis and Synthesis via Linear Matrix Inequalities," in Proceedings of the ACC, 1993, pp. 2147-2154.
17. P. Scokaert and J. B. Rawlings, "Constrained linear quadratic regulation,"IEEE Transactions on Automatic Control, vol. 43, no. 8, pp. 1163-1169, 1998.
18. B. Wittenmark, R. H. Middleton, and G. C. Goodwin, "Adaptive decoupling of multivariable systems," International Journal of Control, vol. 46, no. 6, pp. 1993-2009, 1990.
19. F. Y. Lin, J. C. Jeng, and H. P. Huang, "Multivariable Control with Generalized Decoupling for Disturbance Rejection," Ind. Eng. Chem. Res., vol. 48, pp. 9175-9185, 2009.
20. W. Zenghui, C. Zengqiang, S. Qinglin, and Y. Zhuzhi, "Multivariable Decoupling Predictive Control Based on QFT Theory and Application in CSTR Chemical Process," Chinese Journal of Chemical Eng., vol. 14, no. 6, pp. 765-769, 2006.
21. D. Q. Mayne, "Sequential design of linear multivariable system," IEE Proceedings, vol. 126, no. 6, 1979.
22. R. H. Middleton and G. J. Adams, "Modification of Model Predictive Control to Reduce Cross-Coupling," in Proceedings of the 17th IFAC WC, 2008.
23. T. Chai, K. Mao, and X. Qin, "Decoupling design of multivariable generalized predictive control," IEE Proc.-Control Theory Appl., vol. 141, no. 3, pp. 197-201, 1994.
24. J. O. Trierweiler and L. A. Farina, "RPN tuning strategy for model predictive control," Journal of Process Control, vol. 13, pp. 591-598, 2003.
25. G. Shah and S. Engell, "Tuning MPC for Desired Closed-Loop Performance for SISO Systems," in Proc. 18th Mediterranean Conference on Control and Automation, 2010, pp. 628-633.
26. D. W. Clarke, C. Mohtadi, and P. S. Tuffs, "Generalized Predictive Control - Part I. The Basic Algorithm," Automatica, vol. 23, no. 2, pp. 137-148, 1987. (Pubitemid 17600158)
27. J. Löfberg, "Yalmip : A toolbox for modeling and optimization in MATLAB," in Proceedings of the CACSD Conference, 2004. [Online]. Available: http://control.ee.ethz.ch/~joloef/yalmip.php
28. nd ed. John Wiley & Sons, Ltd., 2005.
29. D. J. N. Limebeer, "The Specification and Purpose of a Controller Design Case Study," in Proceedings of the 30th Conference on Decision and Control, Brighton, England, 1991, pp. 1579-1580.
30. S. Ochs, S. Engell, and A. Drager, "Decentralized vs. Model Predictive Control of an Industrial Glass Tube Manufacturing Process," in IEEE Conference on Control Applications, 1998.