Iterative learning control-based batch process control technique for integrated control of end product properties and transient profiles of process variables

Journal of Process Control

Volumn 13, Issue 7, 2003, Pages 607-621

  Lee, Kwang S ^a   Lee, Jay H ^b  

^a Sogang University   (South Korea)

^b Georgia Institute of Technology   (United States)

Author keywords

Batch process control; Iterative learning control; Model predictive control

Indexed keywords

COMPETITION; ENGINEERING RESEARCH; INDUSTRIAL ECONOMICS; INTEGRATED CONTROL; LEARNING SYSTEMS; PREDICTIVE CONTROL SYSTEMS;

BATCH PROCESS CONTROL;

PROCESS CONTROL;

EID: 0043124285     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0959-1524(02)00096-3     Document Type: Conference Paper

References (41)

1. Berber R. Control of batch reactors. a review Trans IChemE. 74:1996;3-20.
2. Moore K.L. Iterative learning control - an expository overview. Datta B.S. Applied & Computational Controls, Signal Processing, and Circuits. 1998;425-488 Kluwer Academic, Boston.
3. Lee K.S., Bang S.H., Chang K.S. Feedback-assisted iterative learning control based on an inverse process model. J. Process Control. 4(2):1994;77-89.
4. M. Garden, Learning Control of Actuators in Control Systems, US Patent 3555252, 1971.
5. R.C. Miller, G.T. Mallick, Jr., Method for Controlling an Automatic Machine Tool, US Patent 4088899, 1978.
6. Uchiyama M. Formation of high speed motion pattern of mechanical arm by trial. Trans. Soc. Instrum. Control Eng. 19:1978;706-712.
7. Arimoto S., Kawamura S., Miyazaki F. Bettering operation of robots by learning. J. Robotic Syst. 1(1):1984;123-140.
8. Z. Bien, K.M. Huh, Higher-order iterative learning control algorithm, IEE Proc. Part D, 136, 1989, pp. 105-112.
9. Bondi P., Casalino G., Gambradella L. On the iterative learning control theory for robotic manipulators. IEEE J. Robot. Autom. 4(1):1988;14-22.
10. O. Togai, O. Yamano, Analysis and design of an optimal learning control scheme for industrial robots: a discrete system approach, Proc. 24th IEEE Conf. on Decision and Control, Ft. Lauderdale, December 1985, pp. 1399-1404.
11. Oh S.R., Bien Z., Suh I.H. An iterative learning control method with application for the robot manipulator. IEEE J. Robot. Autom. 4(5):1988;508-514.
12. P. Lucibello, Learning control of linear systems, Proc. ACC, Chicago, June 1992, pp. 1888-1892.
13. Moore K.L. Iterative Learning Control for Deterministic System. 1993;Springer-Verlag, New York.
14. Amann N., Owens D.H., Rogers E. Iterative learning control for discrete-time systems with exponential rate of convergence. IEE Proc. - Control Theory and Applications. 143:1996;217-224.
15. Lee K.S., Kim W.C., Lee J.H. Model-based iterative learning control with quadratic criterion for linear batch processes. J. Cont. Autom. Sys. Engng. 2:1996;148-157.
16. Lee J.H., Lee K.S., Kim W.C. Mode-based iterative learning control with a quadratic criterion for time-varying linear systems. Automatica. 36:2000;641-657.
17. Kim W.C., Chin I.S., Lee K.S., Choi J. Analysis and reduced-order design of quadratic criterion-based iterative learning control using singular value decomposition. Comp. Chem. Eng. 24:2000;1781-2039.
18. Russell S.A., Kesavan P., Lee J.H., Ogunnaike B. Recursive data-based prediction and control of product quality. AIChE J. 44:1998;2442.
19. Russell S.A., Robertson D.G., Lee J.H., Ogunnaike B.A. Model-based quality monitoring of batch and semi-batch processes. J. Process Control. 10:2000;317-332.
20. Astrom K.J., Wittenmark B. Computer Controlled Systems. third ed:1997;Prentice-Hall, Englewood Cliffs.
21. S.J. Qin, T.A. Badgwell. An overview of industrial model predictive technology, In: Proc. CPC-V, Tahoe City, NV, 1997, pp. 232-256.
22. Morari M., Lee J.H. Model predictive control. past, present, and future, Comp Chem. Eng. 23:1999;667-682.
23. Chin I.S., Lee K.S., Lee J.H. A technique for integrated quality control, profile control, and constraint handling for batch processes, Ind. Eng. Chem. Res. 39:2000;693-705.
24. Lee K.S., Lee J.H., Chin I.S., Lee H.J. Model predictive control technique combined with iterative learning control for batch processes. AIChE J. 45:1999;2175-2187.
25. Lee K.S., Lee J.H. Convergence of constrained model predictive control for batch processes. IEEE Trans. A.C. 45:2000;1928-1932.
26. Kailath T. Linear Systems. 1980;Prentice-Hall, Englewood Cliffs.
27. E. Zafiriou, H. W. Chiou. Output constraint softening for SISO model predictive control, In: Proc. ACC., 1993, pp. 372-276.
28. Wilde D.J., Beightler C.S. Foundations of Optimization. 1967;Prentice-Hall, Englewood Cliffs.
29. E. Zafiriou, J. M. Zhu, Optimal control of semi-batch processes in the presence of modeling error, In: Proc. ACC., San Diego, CA, 1990, pp. 1644-1649.
30. E. Zafiriou, R. A. Adomaitis, G. Gattu, Approach to run-to-run control for rapid thermal processing, In: Proc. of ACC., Seattle, WA, 1995, pp. 1286-1288.
31. D. Bonvin, B. Srinivasan, D. Ruppen, Dynamic optimization in the batch chemical industry, Proc. CPC-VI, Tucson, AZ, 2001.
32. Kaczorek T. Two-Dimensional Linear Systems. 1985;Springer-Verlag, Berlin.
33. Geng Z., Carroll R., Xies J. Two-dimensional model and algorithm analysis for a class of iterative learning control systems. Int. J. Control. 52:1990;833-862.
34. Kurek J.E., Zaremba M.B. Iterative learning control synthesis based on 2-D system theory. IEEE Trans A.C. 38:1993;121-125.
35. Roesser R. A discrete state space model for linear image processing. IEEE Trans. A.C. 20:1975;1-10.
36. Hara S., Yamamoto Y., Omata T., Nakano N. Repetitive control system. a new type servo system for periodic exogeneous signals IEEE Trans. A.C. 33:1988;659-668.
37. L.G. Sison, E.K.P. Chong, No-reset iterative learning control, Proc. IEEE Conf. on Decision and Control, Kobe, 3 December 1996, pp. 3062-3063.
38. Lee J.H., Natarajan S., Lee K.S. A model-based predictive control approach to repetitive control of continuous processes with periodic operations. J. Process Control. 11:2001;195-207.
39. Natarajan S., Lee J.H. Repetitive model predictive control applied to a simulated bed chromatography system. Comp. Chem. Eng. 24:2000;1127-1133.
40. Y. Chen, C. Wen, H. Dou, M. Sun. Iterative learning identification, Proc. IEEE Conf. on Decision and Control, San Diego, CA, December 1997, pp. 4702-4707.
41. Chen C., Wen C., Xu J., Sun M. High-order iterative learning identification of projectile's aerodynamic drag coefficient curve from radar measured velocity data. IEEE Trans. Control Systems Technology. 6:1998;563-570.