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Implementation of the FOPID Algorithm in the PLC Controller - PWR Thermal Power Control Case Study

Abstrakt

In the paper authors describe proposition of design and verification procedures of the discrete Fractional Order PID (FOPID) algorithm for control of the Pressurized Water Reactor (PWR) thermal power near its nominal operating point. The FOPID algorithm synthesis consists of: off-line optimal tunning of its parameters in continuous time-domain with LQ (Linear Quadratic) performance index and simplified models of nuclear reactor and control rods drive; its transformation into equivalent integer order structure with Oustaloup filters; and finally its transformation into equivalent discrete form. Discrete FOPID algorithm is further implemented in the PLC controller and verified by real-time simulation in the Hardware In the Loop (HIL) structure with non-linear nuclear reactor model. Promising simulation results were obtained, which confirm improved flexibility of the discrete FOPID algorithm in comparison to its classical PID counterpart.

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    Web of Science

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Creative Commons: CC-BY-NC-ND otwiera się w nowej karcie

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Kategoria:
Aktywność konferencyjna
Typ:
materiały konferencyjne indeksowane w Web of Science
Tytuł wydania:
2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR) strony 229 - 234
Język:
angielski
Rok wydania:
2018
Opis bibliograficzny:
Puchalski B., Rutkowski T. A., Duzinkiewicz K..: Implementation of the FOPID Algorithm in the PLC Controller - PWR Thermal Power Control Case Study, W: 2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR), 2018, ,.
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1109/mmar.2018.8485807
Bibliografia: test
  1. K. B. Oldham and J. Spanier, The fractional calculus: theory and applications of differentiation and integration to arbitrary order. Dover Publications, 2006. otwiera się w nowej karcie
  2. I. Podlubny, Fractional differential equations. Elsevier, 1998, vol. 198. otwiera się w nowej karcie
  3. D. Xue, Fractional-order Control Systems: Fundamentals and Numerical Implementations. Walter de Gruyter GmbH & Co KG, 2017, vol. 1. otwiera się w nowej karcie
  4. S. Das, S. Das, and A. Gupta, "Fractional order modeling of a PHWR under step-back condition and control of its global power with a robust P I λ D µ controller," IEEE Transactions on Nuclear Science, vol. 58, no. 5, pp. 2431-2441, 2011. otwiera się w nowej karcie
  5. T. K. Nowak, K. Duzinkiewicz, and R. Piotrowski, "Fractional neutron point kinetics equations for nuclear reactor dynamics-numerical solution investigations," Annals of Nuclear Energy, vol. 73, pp. 317-329, 2014. otwiera się w nowej karcie
  6. --, "Numerical solution analysis of fractional point kinetics and heat exchange in nuclear reactor," Nuclear Engineering and Design, vol. 281, pp. 121-130, 2015. otwiera się w nowej karcie
  7. S. Das, I. Pan, and S. Das, "Fractional order fuzzy control of nuclear reactor power with thermal-hydraulic effects in the presence of random network induced delay and sensor noise having long range dependence," Energy Conversion and Management, vol. 68, pp. 200-218, 2013. otwiera się w nowej karcie
  8. B. Puchalski, K. Duzinkiewicz, and T. Rutkowski, "Analiza sterowania ułamkowego P I λ D µ mocą reaktora jądrowego," Informatyka, Automatyka, Pomiary w Gospodarce i OchronieŚrodowiska, no. 4, pp. 63-68, 2013.
  9. --, "Wieloobszarowa rozmyta regulacja P I λ D µ mocy reaktora jądrowego," in Aktualne Problemy Automatyki i Robotyki, K. Malinowski, J. Józefczyk, and J.Świątek, Eds. Akademicka Oficyna Wydawnicza EXIT, 2014, vol. 20, pp. 544-557. otwiera się w nowej karcie
  10. K. J. Åström and T. Hägglund, PID controllers: theory, design, and tuning. Instrument society of America Research Triangle Park, NC, 1995, vol. 2.
  11. Z.-Y. Zhao, M. Tomizuka, and S. Isaka, "Fuzzy gain scheduling of PID controllers," IEEE transactions on systems, man, and cybernetics, vol. 23, no. 5, pp. 1392-1398, 1993.
  12. B. Puchalski, K. Duzinkiewicz, and T. Rutkowski, "Multi-region fuzzy logic controller with local PID controllers for U-tube steam generator in nuclear power plant," Archives of Control Sciences, vol. 25, no. 4, pp. 429-444, 2015. otwiera się w nowej karcie
  13. B. Puchalski, T. Rutkowski, J. Tarnawski, and K. Duzinkiewicz, "Comparison of tuning procedures based on evolutionary algorithm for multi-region fuzzy-logi PID controller for non-linear plant," in Methods and Models in Automation and Robotics (MMAR), 2015 20th International Conference on. IEEE, 2015, pp. 897-902. otwiera się w nowej karcie
  14. P. Sokólski, T. A. Rutkowski, and K. Duzinkiewicz, "The excitation controller with gain scheduling mechanism for synchronous generator control," in Methods and Models in Automation and Robotics (MMAR), 2015 20th International Conference on. IEEE, 2015, pp. 23-28. otwiera się w nowej karcie
  15. P. Sokólski, K. Kulkowski, A. Kobylarz, K. Duzinkiewicz, T. Rutkowski, and M. Grochowski, "Advanced control structures of turbo generator system of nuclear power plant," Acta Energetica, vol. 3, no. 24, pp. 83-90, 2015. otwiera się w nowej karcie
  16. A. Soukkou, M. Belhour, and S. Leulmi, "Review, design, optimization and stability analysis of Fractional-Order PID controller," International Journal of Intelligent Systems and Applications, vol. 8, no. 7, p. 73, 2016. otwiera się w nowej karcie
  17. S. Das, I. Pan, S. Das, and A. Gupta, "A novel fractional order fuzzy PID controller and its optimal time domain tuning based on integral performance indices," Engineering Applications of Artificial Intelligence, vol. 25, no. 2, pp. 430-442, 2012. otwiera się w nowej karcie
  18. S. Saha, S. Das, R. Ghosh, B. Goswami, R. Balasubramanian, A. Chandra, S. Das, and A. Gupta, "Design of a fractional order phase shaper for iso-damped control of a PHWR under step-back condition," IEEE Transactions on Nuclear Science, vol. 57, no. 3, pp. 1602-1612, 2010. otwiera się w nowej karcie
  19. MathWorks, "Simulink Desktop Real-Time," March 2018. [Online]. Available: https://www.mathworks.com/products/ simulink-desktop-real-time.html otwiera się w nowej karcie
  20. J. J. Duderstadt and L. J. Hamilton, Nuclear reactor analysis. Wiley New York, 1976, vol. 1. otwiera się w nowej karcie
  21. A. Oustaloup, F. Levron, B. Mathieu, and F. M. Nanot, "Frequency-band complex noninteger differentiator: characterization and synthesis," IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, vol. 47, no. 1, pp. 25-39, 2000. 13 otwiera się w nowej karcie
  22. G. F. Franklin, J. D. Powell, and M. L. Workman, Digital control of dynamic systems. Addison-wesley Menlo Park, CA, 1998, vol. 3. otwiera się w nowej karcie
  23. K. H. John and M. Tiegelkamp, IEC 61131-3: Programming Industrial Automation Systems. Springer Science & Business Media, 2010. otwiera się w nowej karcie
  24. MathWorks, "Simulink PLC Coder," March 2018. [Online]. Available: https://www.mathworks.com/products/sl-plc-coder.html otwiera się w nowej karcie
  25. B. Puchalski, T. A. Rutkowski, and K. Duzinkiewicz, "Multi-nodal PWR reactor model-methodology proposition for power distribution coefficients calculation," in Methods and Models in Automation and Robotics (MMAR), 2016 21st International Conference on. IEEE, 2016, pp. 385-390. otwiera się w nowej karcie
  26. --, "Nodal models of pressurized water reactor core for control purposes-a comparison study," Nuclear Engineering and Design, vol. 322, pp. 444-463, 2017. otwiera się w nowej karcie
  27. C. Audet and J. E. Dennis Jr, "Mesh adaptive direct search algorithms for constrained optimization," SIAM Journal on optimization, vol. 17, no. 1, pp. 188-217, 2006. otwiera się w nowej karcie
  28. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, 1st ed. Boston, MA, USA: Addison-Wesley Longman Publishing Co., Inc., 1989.
Weryfikacja:
Politechnika Gdańska

wyświetlono 164 razy

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