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Study of Intelligent Control Techniques Applied to a Stirring Tank with Heat Exchanger
( Vol-4,Issue-12,December 2017 )
Author(s):

Eduardo H. Kaneko, Matheus F. Mollon, Leandro A. Martins, Jonatas F. Dalmedico, Marcio A. F. Montezuma, Marcio Mendonca

Keywords:

Heat Exchanger, Fuzzy Logic Controller, Fuzzy Cognitive Maps, Artificial Neural Networks.

Abstract:

This work presents a study and evaluation of intelligent control techniques applied to the problem of temperature control of a stirring tank with heat exchanger. This problem is represented by the example provided and documented by MathWorks in MATLAB/Simulink software, called Heatex. The intelligent techniques used are Fuzzy Logic Controller (FLC), Fuzzy Cognitive Maps (FCM), Artificial Neural Networks (ANN) and the combination of these. The proportional-integral (PI) controller provided in the Heatex example is considered as a reference basis during the evaluation of the intelligent control techniques in different test scenarios. The metrics Integral of Absolute Error (IAE) and Integral Time-weighted Absolute Error (ITAE), as well as the parameters overshoot percentage and settling time are the criteria used to evaluate the control techniques performance.

ijaers doi crossref DOI:

10.22161/ijaers.4.12.26

Paper Statistics:
  • Total View : 128
  • Downloads : 16
  • Page No: 176-185
Cite this Article:
MLA
Eduardo H. Kaneko et al ."Study of Intelligent Control Techniques Applied to a Stirring Tank with Heat Exchanger". International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),vol 4, no. 12, 2017, pp.176-185 AI Publications, doi:10.22161/ijaers.4.12.26
APA
Eduardo H. Kaneko, Matheus F. Mollon, Leandro A. Martins, Jonatas F. Dalmedico, Marcio A. F. Montezuma, Marcio Mendonca(2017).Study of Intelligent Control Techniques Applied to a Stirring Tank with Heat Exchanger. International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),4(12), 176-185. http://dx.doi.org/10.22161/ijaers.4.12.26
Chicago
Eduardo H. Kaneko, Matheus F. Mollon, Leandro A. Martins, Jonatas F. Dalmedico, Marcio A. F. Montezuma, Marcio Mendonca. 2017,"Study of Intelligent Control Techniques Applied to a Stirring Tank with Heat Exchanger". International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)).4(12):176-185. Doi: 10.22161/ijaers.4.12.26
Harvard
Eduardo H. Kaneko, Matheus F. Mollon, Leandro A. Martins, Jonatas F. Dalmedico, Marcio A. F. Montezuma, Marcio Mendonca. 2017,Study of Intelligent Control Techniques Applied to a Stirring Tank with Heat Exchanger, International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)).4(12), pp:176-185
IEEE
Eduardo H. Kaneko, Matheus F. Mollon, Leandro A. Martins, Jonatas F. Dalmedico, Marcio A. F. Montezuma, Marcio Mendonca."Study of Intelligent Control Techniques Applied to a Stirring Tank with Heat Exchanger", International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),vol.4,no. 12, pp.176-185,2017.
Bibtex
@article {eduardoh.kaneko2017study,
title={Study of Intelligent Control Techniques Applied to a Stirring Tank with Heat Exchanger},
author={Eduardo H. Kaneko, Matheus F. Mollon, Leandro A. Martins, Jonatas F. Dalmedico, Marcio A. F. Montezuma, Marcio Mendonca},
journal={International Journal of Advanced Engineering Research and Science},
volume={4},
year= {2017},
}
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References:

[1] R. K. Shah and D. P. Sekulic. Fundamentals of heat exchanger design. John Wiley & Sons, 2003.
[2] G. M. Sarabeevi and M. L. Beebi, Temperature control of shell and tube heat exchanger system using internal model controllers, 2016 International Conference on Next Generation Intelligent Systems (ICNGIS), Kottayam, 2016, pp. 1-6.
[3] I. Skrjanc and D. Matko, Predictive functional control based on fuzzy model for heat-exchanger pilot plant, in IEEE Transactions on Fuzzy Systems, vol. 8, no. 6, pp. 705-712, Dec 2000.
[4] A. Yasmine Begum and G. V. Marutheeswar, Type-II fuzzy logic controller for temperature control of a double pipe heat exchanger system, 2015 International Conference on Industrial Instrumentation and Control (ICIC), Pune, 2015, pp. 1253-1258.
[5] M. Mendonça, B. A. Angelico, L.V. R. Arruda and F. Neves, A dynamic fuzzy cognitive map applied to chemical process supervision, in Engineering Applications of Artificial Intelligence, vo. 26, no. 4,pp. 1199-1210, 2013.
[6] The Math Woks, Inc. Temperature control in a heat exchanger. (2017). Retrieved from: https://www.mathworks.com/help/control/examples/temperature-control-in-a-heat-exchanger.html.
[7] G. Fedele, A new method to estimate a first-order plus time delay model from step response, in Journal of the Franklin Institute, vol. 346, no. 1, pp.1-9, 2009.
[8] K.J. Aström andT. Hägglund, PID controllers: theory, design and tuning, 2nd ed., Instrument Society of America, NC, USA, 1995.
[9] Q. Bi, W.-J. Cai, E.-L. Lee, Q.-G. Wang, C.-C. Hang and Y. Zhang,Robust identification of first-order plus dead-time model from step response, in Control Engineering Practice, vol. 7, no. 1, pp. 71-77, 1999.
[10] F. G. Martins, Tuning pid controllers using the itae criterion*, in International Journal of Engineering Education, vol. 21, no. 5, pp. 867, 2005.
[11] C. C. Lee, Fuzzy logic in control systems: fuzzy logic controller. I, in IEEE Transactions on Systems, Man, and Cybernetics, vol. 20, no. 2, pp. 404-418, Mar/Apr 1990.
[12] K. M. Passino, Fuzzy Control, Menlo Park, CA. USA:Addison-Wesley, 1998.
[13] C. C. Lee, Fuzzy logic in control systems: fuzzy logic controller. II, in IEEE Transactions on Systems, Man, and Cybernetics, vol. 20, no. 2, pp. 419-435, Mar/Apr 1990.
[14] B. Kosko, Fuzzy cognitive maps, in International Journal of Man-Machine Studies, vol. 24, no. 1, pp. 65–75, 1986.
[15] E. I. Papageorgiou, Fuzzy cognitive maps for applied sciences and engineering: from fundamentals to extensions and learning algorithms. Springer Science & Business Media, 2013.
[16] S. Haykin, Neural Networks: a comprehensive foundation, Pearson, 1999.
[17] I. N. Silva, D. H. Spatti, R. A. Flauzino, L. H. B. Liboni and S. F. R. Alves, Artificial neural networks: a practical course, Springer International Publishing, 2017.
[18] D. E. Seborg, D. A. Mellichamp, T. F. Edgar and F. J. Doyle III, Process dynamics and control, John Wiley & Sons, 2010.
[19] K. J. Åström and T. Hägglund, Advanced pid control,International Society of Automation, 2006.