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Identification of the Oscillation Period of Chemical Reactors by Chaotic Sampling of the Conversion Degree

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Języki publikacji
EN
Abstrakty
EN
To stabilise the periodic operation of a chemical reactor the oscillation period should be determined precisely in real time. The method discussed in the paper is based on adaptive sampling of the state variable with the use of chaotic mapping to itself. It enables precise determination of the oscillation period in real time and could be used for a proper control system, that can successfully control the process of chemical reaction and maintain the oscillation period at a set level. The method was applied to a tank reactor and tubular reactor with recycle.
Rocznik
Strony
387--393
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
  • Silesian University of Technology, Faculty of Applied Mathematics, ul. Kaszubska 23, 44-100 Gliwice, Poland
  • Silesian University of Technology, Faculty of Applied Mathematics, ul. Kaszubska 23, 44-100 Gliwice, Poland
Bibliografia
  • 1. Antoniades C., Christofides P.D., 2001. Studies on nonlinear dynamics and control of a tubular reactor with recycle. Nonlinear Anal. - Theory Method. Appl., 47, 5933-5944. DOI: 10.1016/S0362-546X(01)00699-X.
  • 2. Berezowski M., 1990. A sufficient condition for the existence of single steady states in chemical reactors with recycle. Chem. Eng. Sci., 45, 1325-1329. DOI: 10.1016/0009-2509(90)87124-B.
  • 3. Berezowski M., 2006. Fractal character of basin boundaries in a tubular chemical reactor with mass recycle. Chem. Eng. Sci., 61, 1342-1345. DOI: 10.1016/j.ces.2005.08.023.
  • 4. Berezowski M., 2011. Bifurcation analysis of the conversion degree in systems based on the cascade of tank reactors. Chem. Eng. Sci., 66, 5219-522. DOI: 10.1016/j.ces.2011.07.013.
  • 5. Berezowski M., 2013. Crisis phenomenon in a chemical reactor with recycle. Chem. Eng. Sci., 101, 451–453. DOI: 10.1016/j.ces.2013.07.014.
  • 6. Berezowski M., Lawnik M., 2014. Identification of fast-changing signals by means of adaptive chaotic transformations. Nonlinear Anal.: Modell. Control, 19(2), 172–177.
  • 7. Douglas J.M., 1972. Process dynamics and control. New York, Prentice Hall, Inc., Englewood Clifs.
  • 8. Feizi S., Goyal V.K., Medard M., 2010. Locally adaptive sampling. 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton), September 29 - October 1, 2010, Allerton House, UIUC, Illinois, USA, 152–159.
  • 9. Gawdzik A., Berezowski M., 1987. Multiple steady states in adiabatic tubular reactors with recycle. Chem. Eng. Sci., 42, 1207-1210. DOI: 10.1016/0009-2509(87)80070-2.
  • 10. Kubiček M., Hofmann H., Hlavaček V., Sinkule J., 1980. Multiplicity and stability in a sequence of two nonadiabatic nonisotermal CSTR. Chem. Eng. Sci., 35, 987–996. DOI: 10.1016/0009-2509(80)85088-3.
  • 11. Luss D., Amundson N.R., 1967. Stability of loop reactors. AIChE J., 13, 279-290. DOI: 10.1002/aic.690130218
  • 12. Petkovski M., Bogdanova S., Bogdanov M., 2006. A simple adaptive sampling algorithm, 14th Telecommunications forum TELFOR, 21-23. November 2006, Belgrade 2006, Serbia, 329–332.
  • 13. Reilly M.J., Schmitz R.A., 1966. Dynamics of a tubular reactor with recycle. Part I. Stability of the steady state AIChE J., 12, 153–161. DOI: 10.1002/aic.690120128.
  • 14. Reilly M.J., Schmitz R.A., 1967. Dynamics of a tubular reactor with recycle. Part II. Nature of the transient state. AIChE J., 13, 519–527. DOI: 10.1002/aic.690130322.
  • 15. Shannon C., 1949. Communication in the presence of noise. Proc. Institute of Radio Engineers, 37, 10–21.
  • 16. Tsotsis T.T., Schmitz R.A., 1979. Exact eniqueness and multiplicity criteria for a positive-order Arrhenius reaction in lumped system. Chem. Eng. Sci., 34, 135 – 137. DOI: 10.1016/0009-2509(79)85188-X.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-42c125a5-3783-4631-81f7-bf34944dd567
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