Robust model predictive control and fault handling of batch processes

AIChE Journal

Volumn 57, Issue 7, 2011, Pages 1796-1808

  Aumi, Siam ^a   Mhaskar, Prashant ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

Batch process; Control; Model predictive control; Process control; Reachability regions

Indexed keywords

BATCH PROCESS; COMPUTATIONALLY EFFICIENT; CONTROL ACTUATORS; END POINTS; FAULT HANDLING; FED-BATCH REACTORS; FINITE DURATION; FULL CONTROL; INPUT CONSTRAINTS; MODEL UNCERTAINTIES; OPTIMIZATION-BASED ALGORITHM; PROCESS STATE; PRODUCT QUALITY; REACHABILITY; ROBUST MODEL PREDICTIVE CONTROL; SENSOR NOISE; UNCERTAINTY BOUNDS;

BATCH DATA PROCESSING; BATCH REACTORS; POINT CONTACTS; PREDICTIVE CONTROL SYSTEMS; QUALITY CONTROL; ROBUST CONTROL; UNCERTAINTY ANALYSIS;

MODEL PREDICTIVE CONTROL;

EID: 79958744715     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.12398     Document Type: Article

References (33)

1. Cruickshank SM, Daugulis AJ, McLellan PJ. Dynamic modeling and optimal fed-batch feeding strategies for a two-phase p6artitioning bioreactor. Biotech Bioeng. 2000; 67: 224-233.
2. Dadebo SA, McAuley KB. Dynamic optimization of constrained chemical engineering problems using dynamic programming. Comput Chem Eng. 1995; 19: 513-525.
3. Zhang GP, Rohani S. On-line optimal control of a seeded batch cooling crystallizer. Chem Eng Sci. 2003; 58: 1887-1896.
4. Soroush M, Kravaris C. Optimal-design and operation of batch reactors. I. Theoretical framework. Ind Eng Chem Res. 1993; 32: 866-881.
5. Soroush M, Kravaris C. Optimal-design and operation of batch reactors. II. A case-study. Ind Eng Chem Res. 1993; 32: 882-893.
6. Flores-Cerrillo J, MacGregor JF. Latent variable MPC for trajectory tracking in batch processes. J Process Control. 2005; 15: 651-663.
7. Valappil J, Georgakis C. State estimation and nonlinear model predictive control of end-use properties in batch reactors. In: Procedings of the 2001 American Control Conference, Vol. 2. Arlington, VA, IEEE; 2001: 999-1004.
8. Alamir M, Balloul I. Robust constrained control algorithm for general batch processes. Int J Control. 1999; 72: 1271-1287.
9. Mayne DQ. Non-linear model predictive control: challenges and opportunities. In: Allgower F, Zheng A, editor. Non-Linear Model Predictive Control., Basel: Birkhauser; 2000: 23-44.
10. Crowley T, Choi K. Experimental studies on optimal molecular weight distribution control in a batch-free radical polymerization processes. Chem Eng Sci. 1998; 53: 2769-2790.
11. Dimitratos J, Georgakis C, El-Aasser MS, Klein A. Dynamic modeling and state estimation for an emulsion copolymerization reactor. Comput Chem Eng. 1989; 13: 21-33.
12. Kozub D, Macgregor JF. Feedback control of polymer quality in semi-batch copolymerization reactors. Chem Eng Sci. 1992; 47: 929-942.
13. De Valliere P, Bonvin D. Application of estimation techniques to batch reactors. II. Experimental studies in state and parameter estimation. Comput Chem Eng. 1989; 13: 11-20.
14. Hua XM, Rohani S, Jutan A. Cascade closed-loop optimization and control of batch reactors. Chem Eng Sci. 2004; 59: 5695-5708.
15. Shi D, Mhaskar P, El-Farra NH, Christofides PD. Predictive control of crystal size distribution in protein crystallization. Nanotechnology. 2005; 16: S562-S574.
16. Shi D, El-Farra NH, Li M, Mhaskar P, Christofides PD. Predictive control of particle size distribution in particulate processes. Chem Eng Sci. 2005; 61: 268-281.
17. Sheikhzadeh M, Trifkovic M, Rohani S. Real-time optimal control of an anti-solvent isothermal semi-batch crystallization process. Chem Eng Sci. 2008; 63: 829-839.
18. Palanki S, Vemuri J. Optimal operation of semi-batch processes with a single reaction. Int J Chem React Eng. 2005; 3:A17.
19. Pistikopoulos EN, Dua V, Bozinis NA, Bemporad A, Morari M. On-line optimization via off-line parametric optimization tools. Comput Chem Eng. 2002; 26: 175-185.
20. Huynh N, Kazantzis N. Parametric optimization of digitally controlled nonlinear reactor dynamics using Zubov-like functional equations. J Math Chem. 2005; 38: 499-519.
21. Mhaskar P, El-Farra NH, Christofides PD. Predictive control of switched nonlinear systems with scheduled mode transitions. IEEE Trans Automat Contr. 2005; 50: 1670-1680.
22. Mhaskar P. Robust model predictive control design for fault-tolerant control of process systems. Ind Eng Chem Res. 2006; 45: 8565-8574.
23. Mahmood M, Gandhi R, Mhaskar P. Safe-parking of nonlinear process systems: handling uncertainty and unavailability of measurements. Chem Eng Sci. 2008; 63: 5434-5446.
24. Aumi S, Mhaskar P. Safe-steering of Batch Processes. AIChE J. 2009; 55: 2861-2872.
25. Nomikos P, Macgregor JF. Monitoring batch processes using multiway principal component analysis. AIChE J. 1994; 40: 1361-1375.
26. Cinar A, Parulekar SJ, Undey C, Birol G. Batch Fermentation: Modeling: Monitoring, and Control. New York: CRC Press. 2003.
27. Undey C, Tatara E, Williams B, Birol G, Cinar A. A hybrid supervisory knowledge-based system for monitoring penicillin fermentation. In: Proceedings of American Control Conference, Vol. 6. Chicago, Il; IEEE; 2000: 3944-3948.
28. Undey C, Tatara E, Williams B, Birol G, Cinar A. On-line real-time monitoring of penicillin fermentation. In: International Symposium on Advanced Control of Chemical Processes, Vol. 6, Pisa, Italy, IFAC; 2000: 243-248.
29. Undey C, Cinar A. Statistical monitoring of multiphase, multistage batch processes. IEEE Control Syste Mag. 2002; 22: 40-52.
30. Mhaskar P, McFall C, Gani A, Christofides PD, Davis JF. Isolation and handling of actuator faults in nonlinear systems. Automatica. 2008; 44: 53-62.
31. Gandhi R, Mhaskar P. Safe-parking of nonlinear process systems. Comput Chem Eng. 2008; 32: 2113-2122.
32. Terwiesch P, Agarwal M, Rippin DWT. Batch unit optimization with imperfect modelling: a survey. J Proc Control. 1994; 4: 238-258.
33. Khalil HK. Nonlinear Systems; 3rd ed. New York: Prentice Hall, 2002.