Model based control of a fed batch process used for catalyst support production

Abstract In this paper, a model based control of a fed batch process used for catalyst support synthesis is proposed. The considered model is derived from mass balances and an algebraic equilibrium equation identified using titration experiments. The catalyst quality requires that three variables are controlled during the production process: pH, volume and concentration. A global control structure enabling to simultaneously control the three considered variables is given. The pH controller adjusts a reactive base flow rate while the volume and concentration controllers act on water and reactive acid flow rates, respectively. The process model is used to derive control laws that impose asymptotically stable dynamics. Representative experimental results are presented to prove the relevance of the proposed approach.

[1]  Julien Barraud.  Commande de procédés à paramètres variables , 2006 .

[2]  Ayla Altinten,et al.  Generalized predictive control applied to a pH neutralization process , 2007, Comput. Chem. Eng..

[3]  James A. Schwarz,et al.  Effect of alumina supports on the properties of supported nickel catalysts , 1991 .

[4]  Michel Primet,et al.  Complete oxidation of methane at low temperature over noble metal based catalysts: a review , 2002 .

[5]  Mohammad Shahrokhi,et al.  Adaptive nonlinear control of pH neutralization processes using fuzzy approximators , 2009 .

[6]  Nicolas Petit,et al.  pH control of a fed batch reactor with precipitation , 2009 .

[7]  Dale E. Seborg,et al.  Adaptive nonlinear control of a pH neutralization process , 1994, IEEE Trans. Control. Syst. Technol..

[8]  Costas Kravaris,et al.  On-line identification and nonlinear control of an industrial pH process , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[9]  Kulamani Parida,et al.  Synthesis and characterization of nano-sized porous gamma-alumina by control precipitation method , 2009 .

[10]  W. R. Cluett,et al.  Linearizing feedforward-feedback control of pH processes based on the Wiener model , 2005 .

[11]  R.D. Braatz,et al.  Robust nonlinear control of a pH neutralization process , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[12]  Ilya V. Kolmanovsky,et al.  Predictive energy management of a power-split hybrid electric vehicle , 2009, 2009 American Control Conference.

[13]  W. R. Cluett,et al.  A new approach to the identification of pH processes based on the Wiener model , 1995 .

[14]  Yongqi Hu,et al.  Self-assembly synthesis of organized mesoporous alumina by precipitation method in aqueous solution , 2006 .

[15]  J. Palacios,et al.  The effect of surface and thermal treatments on γ-Al2O3 as a catalyst of the claus reaction at low temperature , 1997 .

[16]  Ian David Lockhart Bogle,et al.  Computers and Chemical Engineering , 2008 .

[17]  Suat Yilmaz,et al.  Synthesis and characterization of boehmitic alumina coated graphite by sol-gel method , 2009 .

[18]  T. Gustafsson,et al.  Nonlinear and adaptive control of pH , 1992 .

[19]  R. A. Wright,et al.  On-line identification and nonlinear control of an industrial pH process , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[20]  Dady B. Dadyburjor,et al.  Correlating NEXAFS characterization of Co–W and Ni–W bimetallic carbide catalysts with reactivity for dry reforming of methane , 2009 .

[21]  R. A. Wright,et al.  Nonlinear control of pH processes using the strong acid equivalent , 1991 .

[22]  T. Gustafsson,et al.  Dynamic modeling and reaction invariant control of pH , 1983 .

[23]  Hongjun Sun,et al.  Surfactant assisted hydrothermal and thermal decomposition synthesis of alumina microfibers with mesoporous structure , 2009 .

[24]  Bin Wang,et al.  Dehydrogenation of long chain paraffins over supported Pt-Sn-K/Al2O3 catalysts: A study of the alumina support effect , 2009 .