Study on Dynamics of Saponification Process Using State Space Model
American Journal of Chemical Engineering
Volume 3, Issue 4, July 2015, Pages: 52-57
Received: Sep. 23, 2015; Accepted: Oct. 11, 2015; Published: Oct. 24, 2015
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Authors
Khalid Mokhlif Mousa, Department of Chemical Engineering, Al-Nahrain University, Baghdad, Iraq
Zainab Essaim Dawood, Department of Chemical Engineering, Al-Nahrain University, Baghdad, Iraq
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Abstract
Due to multi input multi output variables affected the continuous stirred tank reactor its worthy to use the state space model to study the dynamics of this system. In this work, a saponifecation process was studded on which Ethel acetate was reacted with sodium hydroxide to produced sodium acetate and ethanol. one litter operation volume CSTR was used, the flow rate of Ethel acetate and cooling water were toke as disturbance variables and the concentration of sodium acetate and the temperature of reactor as response variables. The results show improvement compared with linearized model.
Keywords
CSTR, Sodium acetate, State Space Model
To cite this article
Khalid Mokhlif Mousa, Zainab Essaim Dawood, Study on Dynamics of Saponification Process Using State Space Model, American Journal of Chemical Engineering. Vol. 3, No. 4, 2015, pp. 52-57. doi: 10.11648/j.ajche.20150304.11
Copyright
Copyright © 2015 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
[1]
http://encyclopedia.che.engin.umich.edu/Pages/Reactors/CSTR/CSTR.html.
[2]
P.N.Paraskevopoulos, Modern Control Engineering, Control Engineering Series, 2002, P.78.
[3]
L. Robert Williams and A. Douglas Lawrence, Linear State-Space Control Systems, Ohio University, 2007.
[4]
L.M. Patnaik, N. Viswanadham, and I.G. Sarma, State Space Formulation of Ammonia Reactor Dynamics, Computers & Chemical Engineering, Volume 4, Issue 4, 1980, P. 215–222.
[5]
Neil Shephard , Partial Non-Gaussian State Space , Nuffield College, Oxford OX1 1NF, U.K. Biometrika, 1994, P. 115-31.
[6]
F. Jeremy Burri, D. Stevan Wilson, and Vasilios I. Manousiouthakis, Infinite Dimensional State-Space Approach to Reactor Network Synthesis: Application to Attainable Region Construction, Computers & Chemical Engineering, Volume 26, Issue 6, 2002, P. 849–862.
[7]
Tapani Raiko and Matti, Learning Nonlinear State-Space Models for Control, Tapani, Neural Networks Research Centre, Helsinki University of Technology, Finland, 2005.
[8]
C. Or, Jason L. Speyer, and John Kim, State-Space Approximations of the Orr–Sommerfeld System with Boundary Inputs and Outputs, University of California, Los Angeles, California, Journal Of Guidance, Control, And Dynamics, Vol. 33, No. 3, 2010.
[9]
R.N. Methekar, S.C. Patwardhan, R. Rengaswamy, R.D. Gudi, and V. Prasad, Control of Proton Exchange Membrane Fuel Cells Using Data Driven State Space Models, Chemical Engineering Research and Design, Volume 88, Issue 7, 2010, P. 861–874.
[10]
J. Siem Koopman, and J.F. Jacques ,Time Series: State Space Methods, International Encyclopedia of the Social & Behavioral Sciences, Second Edition, 2015, P. 354–361.
[11]
E. Julio Normey-Rico, Control of Dead-time Processes, Advanced Textbooks in Control and Signal processing", 2007, P. 118.
[12]
R. Donald Coughanowr, Process Systems Analysis and Control, Department of Chemical Engineering, Drexel University, Second Edition, 1991.
[13]
M. Khalid Mousa, Zaynab Esam Dawood, Study on Dynamics of Continuous Stirred Tank Reactor using Multi Input- Multi Output System, International Journal of Engineering Sciences & Research Technology, 2015.
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