Design of MFCS with Time-Delay for Chemical Processing System

Abstract:

We can design model following control system (MFCS) with time-delay whose internal states are bounded. Time-delay widely exists among controlled objects in computer control processes, power systems, chemical processing systems, metallurgical processing systems, environmental systems and communication systems transmission systems and other industrial production activities[1]～[5], and makes it difficult to evaluate effects of control system input signals in time, which will ineluctably deteriorate performance of the control system in automatically removing outside disturbances, and influence stability of the system. This paper discusses a design of predictive control of MFCS for the linear time-delay based on the model following control theory proposed by Okubo[6], and is thus considered to be innovative and applicable. It is confirmed on basis of a numerical example that the output signal of the control system asymptotically follows the reference model signal in the case of the existence of disturbances.

• Periodical: Key Engineering Materials (Volumes 467-469)
• Pages: 1456-1461
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.467-469.1456
• Online since: February 2011
• Authors: Shu Jing Wu, Da Zhong Wang, Shigenori Okubo
• Keywords: Disturbance, Internal States, Model Following Control System, Time-Delay for Chemical Reaction

References

[1] C. V. Hollot, V. Misra, D. Towsley, W. Gong: IEEE Transactions on Automatica control, Vol. 47, No. 6, 945-959. (2002).

[2] R. K. Wood and M. W. Berry: Chemical Engineering Science, Vol. 28, 1707-1717. (1973).

[3] G. Alevisakis and D. E. Seborg: Chemical Engineering Science, Vol. 29, 373-380. (1974).

[4] H. Fukushima, K. Kon, Y. Hada, F. Matsuno, K. Kawabata, H. Asama: 16th IEEE International Conference on Control Applications Part of IEEE Multi-conference on Systems and Control, Singapore, 188-193. (2007).

DOI: 10.1109/cca.2007.4389228

[5] T. Azuma, T. Fujita, M. Fujita: IEEJ Transactions on Electronics, Information and systems, Vol. 125-c, No. 9, 1491-1496. (2005).

[6] S. Okubo: Transactions of the Society of Instrument and Control Engineers", Vol. 28, No. 8, 939-946. (1992).

[7] A. G Wu and G. R. Duan: International Journal of Control, Automation, and Systems, Vol. 5, No. 1, 93-98. (2007).

[8] O. J. M. Smith: Chem. Engi. Prog, Vol. 53, No. 5, 217-219. (1957).

[9] O. J. M. Smith: ISA Journal, Vol. 6, No. 2, 28-33. (1959).

[10] K. Watanabe: System and Control Letters, Vol. 1, 54-59. (1981).

[11] K. Watanabe and M. sato: International Journal Control, Vol. 39, No. 1, 1-17. (1984).

[12] R. V. Monopoli: IEEE Transactions on Automatic Control, Vol. 19, No. 5, 474-484. (1974).

[13] Y. Orlov, L. Belkoura, J. P. Richard and M. Dambrine: IEEE Transactions on Automatic Control", Vol. 47, N0. 8, 1319-1324. (2002).

DOI: 10.1109/tac.2002.801202

[14] J. Y. I and M. H. T: IEEE Transactions on Automatica control, Vol. 47, No. 11, 1926-1930. (2002).

[15] T. Harakawa, H. K. Sung and T. Kawaguchi: Transactions of the Society of Instrument and Control Engineers, Vol. 30, No. 7, 751-759. (1994).

[16] K. Watanabe, Y. Ishiyama and M. Ito: International Journal Control, Vol. 37, No. 5, 959-973. (1983).

[17] K. Watanabe and M. Sato: International Journal Control, Vol. 40, No. 3, 435-448. (1984).

[18] T. Katayama, Linear system optimal control: Kindai Kagaku Sha Co., Ltd, (1999).