Development of on-line optimization-based control strategies for a starved-feed semibatch copolymerization reactor

Control Engineering Practice

Volumn 18, Issue 2, 2010, Pages 131-139

  Perea, L F T ^a   Okorafo, O E ^b   Hutchinson, R A ^b   Guay, M ^b  

^a Transmin Metallurgical Consultants   (Peru)

^b QUEEN S UNIVERSITY   (Canada)

Author keywords

Adaptive control; Model predictive control; Real time optimization

Indexed keywords

ACRYLIC RESINS; ADAPTIVE CONTROL; AUTOMOTIVE COATINGS; BATCH TIME; BUTYL METHACRYLATES; CONSTRAINT SATISFACTION; CONTROL STRATEGIES; FREE RADICAL COPOLYMERIZATION; HIGH TEMPERATURE; NON-LINEAR OPTIMIZATION; NUMERICAL SIMULATION; ONLINE OPTIMIZATION; PREDICTIVE CONTROL; REAL-TIME OPTIMIZATION; SEMI-BATCH; SOLUTION POLYMERIZATION; STATE TRAJECTORY; STUDY CASE;

ADAPTIVE CONTROL SYSTEMS; COMPUTER SIMULATION; COPOLYMERIZATION; FREE RADICALS; OPTIMIZATION; PREDICTIVE CONTROL SYSTEMS; RESINS; STRATEGIC PLANNING; STYRENE;

MODEL PREDICTIVE CONTROL;

EID: 76749166142     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2009.10.003     Document Type: Article

References (17)

1. Abel, O., & Marquardt, W. (1998). A model predictive control scheme for safe and optimal operation of exothermic semibatch reactors. In Proceedings of IFAC symposium Dycops5 (pp. 761-766).
2. Abel O., and Marquardt W. Scenario-integrated on-line optimization of batch reactors. Journal of Process Control 13 (2003) 703-715
3. Chen H., and Allgower F. Nonlinear model predictive control schemes with guaranteed stability. Nonlinear model based process control (1998), Kluwer Academic Publishers, Dordrecht, The Netherlands 465-494
4. DeHaan D., and Guay M. Nonconvex optimization and robustness in realtime model predictive control. International Journal of Robust and Nonlinear Control 17 (2007) 1634-1650
5. Fiber, S., Gesthuisen, R., & Engell, S. (2002). Re-optimization based control of copolymer quality in semi-continuous emulsion polymerization process. In Proceedings of the American control conference anchorage, Anchorage, Alaska.
6. Guay M., and Zhang T. Adaptive extremum-seeking control of nonlinear systems with parametric uncertainties. Automatica 30 (2003)
7. Jarupintusophon P., Lelann M.V., Cabassud M., and Casamatta G. Realistic model-based predictive and adaptive control of batch reactor. Computers and Chemical Engineering 18 (1995) s445-s449
8. Li D., and Hutchinson R.A. High temperature semibatch free radical copolymerization of butyl methacrylate and styrene. Macromolecular Symposium 243 (2006) 24-34
9. Mayne D.Q., Rawlings J.B., Rao C.V., and Scokaert P. Constrained model predictive control: Stability and optimality. Automatica 36 6 (2000) 789-814
10. M'hamdi, A., Helbig, A., Abel, O., & Marquardt, W. (1996). Newton-type receding horizon control and state estimation-a case study. In Proceedings of the 13th World congress of IFAC (pp. 121-126).
11. Nagy Z., and Agachi S. Model predictive control of a pvc batch reactor. Computers and Chemical Engineering 21 (1997) 571-591
12. Peters, N. J. (2005). Real-time dynamic optimization of nonlinear batch systems. MSc thesis, Queens University.
13. Peterson T., Hernandez E., Arkun Y., and Schork F.J. A nonlinear dmc algorithm and its applications to a semibatch polymerization reactor. Chemical Engineering Science 47 4 (1992) 737-753
14. Richards J.R., and Congalidis J.P. Measurement and control of polymerization reactors. Computers and Chemical Engineering 30 (2006) 1447-1463
15. Ruppen, D. (1994). A contribution to the implementation of adaptive optimal operation for discontinuous chemical reactors. PhD thesis, ETH Zrich.
16. Terwiesch P. Cautious on-line correction of batch process operation. AIChE Journal 41 5 (1995) 1337-1340
17. Vemuri, Y. J. (2004). Real-time optimization of semi-batch reactor. PhD thesis, Florida State University.