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Smith predictor with sliding mode control for processes with large dead times Cover

Smith predictor with sliding mode control for processes with large dead times

Journal of Electrical Engineering
Volume 68 (2017): Issue 6 (November 2017)
By: Utkal Mehta and  İbrahim Kaya  
Open Access
|Jan 2018

References

  1. [1] A. O’Dwyer Handbook of PI and PID controller tuning rules, 3rd ed. UK: Imperial College Press, 2009.10.1142/p575
    Search in Google ScholarBack to article
  2. [2] O. Smith, “A controller to overcome dead time”, ISA J, vol. 6, p.2833, 1959.
    Search in Google ScholarBack to article
  3. [3] M. R. Matausek and A. D. Micic, “A modified smith predictor for controlling a process with an integrator and long dead-time”, IEEE Trans. Automatic Contr., vol. 41, no.8, pp. 1199 - 1203, 1996.
    Search in Google ScholarBack to article
  4. [4] S. Majhi and D. Atherton, “Obtaining controller parameters for a new smith predictor using auto tuning”, Automatica, vol. 36, pp. 1651-8, 2000.
    Search in Google ScholarBack to article
  5. [5] I. Kaya, “IMC based automatic tuning method for PID controllers a smith predictor configuration”, Computers & Chemical Engineering, vol. 28, pp. 281-290, 2004.10.1016/j.compchemeng.2003.01.001
    Search in Google ScholarBack to article
  6. [6] A. S. Rao, V. Rao and M. Chidambaram, “Set point weighted modified smith predictor for integrating and double integrating processes with time delay”, ISA Transactions, vol. 46, no.1, 2007.10.1016/j.isatra.2006.05.00217240376
    Search in Google ScholarBack to article
  7. [7] A. S. Rao and M. Chidambaram, “Analytical design of modified smith predictor a twodegrees-of-freedom control scheme for second order unstable processes with time delay”, ISA Transactions, vol. 47, pp. 407-419, 2008.10.1016/j.isatra.2008.06.00518706559
    Search in Google ScholarBack to article
  8. [8] A. S. Rao, S. Seethaladevi, S. Uma and M. Chidambaram, “Enhancing the performance of parallel cascade control using Smith predictor”, ISA Trans., vol. 48, pp. 220-227, 2009.10.1016/j.isatra.2008.10.01119054509
    Search in Google ScholarBack to article
  9. [9] M. R. Matauseka and A. I. Ribic, “Control of stable, integrating and unstable processes by the modified smith predictor”, Journal of Process Control, vol. 22, pp. 338-343, 2012.10.1016/j.jprocont.2011.08.006
    Open DOISearch in Google ScholarBack to article
  10. [10] M. Ajmeri and A. Ali, “Two degree of freedom control scheme for unstable processes with small time delay”, ISA Transactions, vol. 56, pp. 308-326, 2015.10.1016/j.isatra.2014.12.00725617941
    Search in Google ScholarBack to article
  11. [11] V. F. Kuzishchin, E. I. Merzlikina and V. Hoang, “Study of the control system with the smith predictor and autotuning algorithm AT-2 for thermal control objects with the constant speed actuator”, MATEC Web of Conferences, vol. 91, 2017, pp. 010-018.10.1051/matecconf/20179101018
    Search in Google ScholarBack to article
  12. [12] I. S. Jesus and R. S. Barbosa, Lecture Notes Electrical Engineering Springer, Cham, 2016, ch. Smith Predictor Tuned Through Fuzzy Fractional PID Controller, pp. 71-80.10.1007/978-3-319-43671-5_7
    Search in Google ScholarBack to article
  13. [13] C. Rodrguez, J. Normey-Rico, J. Guzmn, M. and Berenguel, “On the filtered smith predictor with feedforward compensation”, Journal of Process Control, vol. 41, pp. 35-46, 2016.10.1016/j.jprocont.2016.02.005
    Open DOISearch in Google ScholarBack to article
  14. [14] V. I. Utkin, “Variable structure system with sliding mode”, IEEE Trans. Automatic Contr., vol. 22, no.2, pp. 212-221, 1997.10.1109/TAC.1977.1101446
    Search in Google ScholarBack to article
  15. [15] W. Perruquetti and J. P. Barbot, Sliding mode control Engineering, Automation and Control Series, Marcel Dekker Inc., New York (USA), 2002.10.1201/9780203910856
    Search in Google ScholarBack to article
  16. [16] B. Bandyopadhyay, F. Deepak and K.-S. Kim, SlidingMode Control Using Novel Sliding Surfaces, B.Media, Ed. Springer Science, 2009.10.1007/978-3-642-03448-0
    Search in Google ScholarBack to article
  17. [17] O. Camacho and R. Rojas, “A general slidingmode controller for nonlinear chemical processes”, J. Dyn. Syst. Meas. Control, vol. 122, pp. 650 - 655, 2000.10.1115/1.1318351
    Search in Google ScholarBack to article
  18. [18] O. Camacho and F. D. la Cruz, “Smith predictor based-sliding mode controller for integrating processes with elevated deadtime”, ISA Transactions, vol. 43, pp. 257 - 270, 2004.10.1016/S0019-0578(07)60035-4
    Open DOISearch in Google ScholarBack to article
  19. [19] R. Rojas, O. Camacho and L. Gonzalez, “A sliding mode control proposal for open-loop unstable processes”, ISA Tran., vol. 43, pp. 243 - 255, 2004.10.1016/S0019-0578(07)60034-2
    Search in Google ScholarBack to article
  20. [20] O. Camacho, R. Rojas and W. Gabin, “Some long time delay sliding mode control approaches”, ISA Transactions, vol. 46, pp. 95-101, 2007.10.1016/j.isatra.2006.06.00217241631
    Open DOISearch in Google ScholarBack to article
  21. [21] S. Sivaramakrishnan, A. K. Tangirala and M. Chidambaram, “Sliding mode controller for unstable systems”, Chem. Biochem. Eng. Q., vol. 22, no.1, pp. 41 - 47, 2008.
    Search in Google ScholarBack to article
  22. [22] U. Mehta and R. Rojas, “Smith predictor based sliding mode control for a class of unstable processes”, Transactions of the Institute of Measurement and Control, vol. 39, no.5, pp. 706-714, 2017.10.1177/0142331215619973
    Search in Google ScholarBack to article
  23. [23] J. J. Slotine and W. Li, Applied Nolinear Control, N. Englewood Cliffs, Ed. Prentice-Hall, 1991.
    Search in Google ScholarBack to article
  24. [24] J. Y. Hung, W. Gao and J. C. Hung, “Variable structure control: A survey”, IEEE Trans. Ind. Electr., vol. 40, no.1, pp. 2 - 22, 1993.10.1109/41.184817
    Search in Google ScholarBack to article
  25. [25] O. Garpinger, Hägglund, K. J. Åström, “Performance and robustness trade-offs PID control”, Journal of Process Control, vol. 24, no.5, pp. 568-577, 2014.10.1016/j.jprocont.2014.02.020
    Open DOISearch in Google ScholarBack to article
  26. [26] D. Shi, J. Wang and L. Ma, “Design of balanced proportional-integral-derivative controllers based on bilevel optimisation”, IET Control Theory and Applications, vol. 5, no.1, pp. 84-92, 2011.10.1049/iet-cta.2009.0561
    Search in Google ScholarBack to article
  27. [27] L. Sun, D. Li and K. Lee, “Optimal disturbance rejection for PI controller with constraints on relative delay margin”, ISA Transactions, vol. 63, pp. 103-111, 2016.10.1016/j.isatra.2016.03.01427038886
    Search in Google ScholarBack to article
  28. [28] X. S. Yang Nature-inspired metaheuristical gorithms, United Kingdom:Luniver Press, 2011.
    Search in Google ScholarBack to article
  29. [29] J. Kennedy and R. Eberhart, “Particle swarm optimization”, Proc. IEEE Int. Conf. Neural Networks, vol. 4, Perth, Australia, 1995, pp. 1942-1948.10.1109/ICNN.1995.488968
    Open DOISearch in Google ScholarBack to article
  30. [30] R. Poli, J. Kennedy and T. Blackwell, “Particle swarm optimization. an overview”, Springer, Swarm Intelligence, vol. 1, pp. 35-57, 2007.10.1007/s11721-007-0002-0
    Search in Google ScholarBack to article
DOI: https://doi.org/10.1515/jee-2017-0081 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 463 - 469
Submitted on: Oct 9, 2017
|
Published on: Jan 19, 2018
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
large dead time,
Smith predictor,
sliding mode,
control input
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2018 Utkal Mehta, İbrahim Kaya, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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