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Regulation of absorption packed column of CO2 using discrete fuzzy input-output linearization

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Języki publikacji
EN
Abstrakty
EN
This work deals with modeling and regulation of the absorption packed column of CO2 from a gas mixture using an aqueous solution of monoethanolamine (MEA). We first present a dynamic mathematical model estimating the CO2 and MEA concentrations at column outlets; we compare the model results with the experimental data in the steady state case to validate the model. We first use the classical PI regulation technique to delete step input disturbances, then we present the discrete fuzzy input- output linearization theory that allows system inversion and linearization for a large class of non linear systems and show that pole placement law guarantees error convergence to a reference centered ball. Finally we apply the regulator based on fuzzy linearization to the controlled system and we got in most cases better results than PI regulation.
Rocznik
Strony
339--355
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
autor
autor
  • Laboratory of Process Control, Department of Electrical Engineering, Ecole Polytechnique Nationale d'Alger, Algiers, Algeria, rachid.illoul@enp.edu.dz
Bibliografia
  • [1] P. ALBERTOS and A. SALA: Perspectives of fuzzy control: lights and shadows. Proc. 2nd hit. IEEE Coq. on Intelligent Systems, 1 (2004), 25-32.
  • [2] R. BOUKEZZOULA: Commande floue d'une classe de systemes non lineaires : application au probleme de suivi de trajectoire. Ph. D. Thesis, Universite de Savoie, France, 2000 (in French).
  • [3] R. BOUKEZZOULA, S. GALICHET and L. FOULLOY: Fuzzy control of nonlinear systems using two standard techniques. Proc. of the IEEE Conf. on Fuzzy Systems, Seoul, Korea, (1999), 885-880.
  • [4] R. BOUKEZZOULA, S. GALICHET and L. FOULLOY: Exact inversion of Takagi-Sugeno fuzzy models. Joint 9th IFSA World Congress and 20th NAFIPS Int. Conf., 4 (2001), 2108-2113.
  • [5] M. FRANK: Entwurf von regelkreisen mit vorgeschriebenem verhalten. Braun Verlag, Berlin. Germany, 1974, 234-245, (in German).
  • [6] A. GAD and M. FAROOQ: An overview of fuzzy logic in power and control systems. Proc. of the 46th IEEE Int. Midwest Symp. on Circuits and Systems, 3 (2003), 1047-1050.
  • [7] H. HIKITA, S. ASAI, H. ISHIKAWA and M. HONDA: Chemical Eng. J., 13 (1977), 7.
  • [8] A. ISIDORI: Nonlinear control system: an Introduction. Springer Verlag, Berlin, Germany, 1985.
  • [9] S. JAGANNATHAN: Adaptive fuzzy logic control of feedback linearizable discretetime dynamical systems under persistence excitation. Automatica, 34(1), (1998), 1295-1310.
  • [10] R. MARINO and P. TOMEI: Nonlinear control design. Prentice-Hall, Englewood Cliffs, N.J., 1995.
  • [11] T. ONDA, E. SADA and T. Y. OKUMOTO: em J. Chem. Eng. Japan, 1 (1968), 63.
  • [12] S. SASTRY and M. BODSON: Adaptive control, stability, convergence and robustness. Prentice-Hall, Englewood Cliffs, N.J., 1989.
  • [13] A. SELATNIA and S. SEDDARI: Simulation of CO2 absorption in aqueous solution of monoethanolamine (MEA) on a pilot absorption column. Distillation and Absorption Coq., IChemE, London, England, (2006).
  • [14] J. E. SLOTINE and W. Lt: Applied nonlinear control. Prentice-Hall, Englewood Cliffs, N.J., 1991.
  • [15] M. TOMIZUKA: Zero phase error tracking algorithm for digital control. ASME J. of Dynamic Systems, Measurement and Control, 109 (1987), 65-68.
  • [16] P. TRAMBOUZE, H.V. LANDEGHEIM and J.P WAUQUIER: Les reacteurs chimiques, conception/ calcul/mise en ouvre. Ed. Technip, Paris France, 1984, 217-218, (in French).
  • [17] G. E. TSEKOURAS, A. V. TAPRANTZIS, G. V. BAFAS: Fuzzy logic control of a continuous fermentor reactor using input-output linearization. Systems Analysis Modelling Simulation, 35(3), (1999), 239 - 255.
  • [18] M. VANDERGRIFT, F. L LEWIS, S. JAGANNATHAN and K. Liu: Adaptive fuzzy logic control of discrete time dynamical systems. Proc. IEEE Int. Conf. on Intelligent Control, (1995), 395-401.
  • [19] L.X. WANG: Design of adaptive fuzzy controllers for nonlinear systems by inputoutput linearization. Proc. of the First Int. NAFIPS/IFIS/NASA Joint Conf., (1994), 89-93.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSW3-0048-0004
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