APPLICATION OF A FUZZY CONTROLLER IN THE PROCESS OF AUTOMATED POLYETHYLENE FILM THICKNESS CONTROL
Andrzej Jardzioch
andrzej.jardzioch@zut.edu.plWest Pomeranian University of Technology, Faculty of Mechanical Engineering and Mechatronics (Poland)
Wioletta Marczak
West Pomeranian University of Technology, Faculty of Mechanical Engineering and Mechatronics (Poland)
Abstract
The present article aims to describe the design of a fuzzy controller used for automated control of the thickness of the extruded polyethylene film effected by the adjustment of the actuator in the cooling ring. In order to determine whether the designed controller operates properly, a model extruder was created and a simulation study was carried out. The Simulink programming environment integrated with Matlab was used for the development of the fuzzy controller and the simulation. The conducted simulation study demonstrated that the implementation of the designed controller would enable the adjustment of thickness on the perimeter of the film tube and quick reaction to possible departure in the assumed film thickness in mass production.
Keywords:
fuzzy logic, fuzzy sets, fuzzy controller, simulation model, Matlab, SIMULINKReferences
Ciloglu, Y. (2010). A Short Fuzzy Logic Tutorial. Bilkent.
Google Scholar
Czapaj, R., Kamiński, J., & Benalcazar, P. (2020). Logika rozmyta dla potrzeb sterowania układów napędowych – wprowadzenie teoretyczne. Energetyka, 3, 103–111.
Google Scholar
Driankov, D., Hellendoorn, H., & Reinfrank, M.(1996). Wprowadzenie do sterowania rozmytego. WNT.
Google Scholar
García-Martínez, J. R., Cruz-Miguel, E. E., Carrillo-Serrano, R. V., Mendoza-Mondragón, F., Toledano-Ayala, M., & Rodríguez-Reséndiz, J. (2020). A PID-Type Fuzzy Logic Controller-Based Approach for Motion Control Applications. Sensors, 20(18), 5323. https://doi.org/10.3390/s20185323
DOI: https://doi.org/10.3390/s20185323
Google Scholar
Jardzioch, A. (2009). Sterowanie elastycznymi systemami obróbkowymi z zastosowaniem metod sztucznej inteligencji. Zachodniopomorski Uniwersytet Technologiczny w Szczecinie.
Google Scholar
Jardzioch, A., & Marczak, W. (2020). Opracowanie inteligentnego sterowania adaptacyjnego do nadzorowania pracy maszyny wytłaczającej folię polietylenową. In Inżynieria zarządzania, Cyfryzacja produkcji Aktualności badawcze 3 (pp. 617–627). PWE.
Google Scholar
Jardzioch, A., Marczak, W., & Krebs, I. (2018). The improvement of manufacturing proces through the use of statistical process control. Journal of Machine Construction and Maintenance, 4, 105–111.
Google Scholar
Jardzioch, A., Marczak, W., & Skobiej, B. (2019). The application of fuzzy logic in monitoring the stability of a production proces. In Innowacyjne metody i technologie w badaniach inżynierskich (pp. 391–404). Wydawnictwo Uczelniane Politechniki Koszalińskiej.
Google Scholar
Lofti, A. Z. (1988). Fuzzy Logic. Computer, 21(4), 83–93.https://doi.org/10.1109/2.53
DOI: https://doi.org/10.1109/2.53
Google Scholar
Lutomirski, S. (2005). Metody stabilizacji grubości folii w procesie jej wytwarzania metodą wytłaczania ze swobodnym rozdmuchiwaniem. Przetwórstwo Tworzyw, 11(2), 50–55.
Google Scholar
Lutomirski, S., Mazur, J., & Strzelecki, R. (1995). Układy pomiaru i stabilizacji grubości wytwarzanej metodą wytłaczania z rozdmuchiwaniem. Polimery, 10, 601–605.
DOI: https://doi.org/10.14314/polimery.1995.601
Google Scholar
Pasupathi Nath, R., & Nishant Balaj, V. (2014). Artificial intelligence in power systems. IOSR Journal of Computer Engineering, 1–7.
Google Scholar
Skobiej, B., & Jardzioch, A. (2019). Selected Aspects of Crossover and Mutation of Binary Rules in the Context of Machine Learning. In: J. Świątek, L. Borzemski, & Z. Wilimowska (Eds.), Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018. ISAT 2018. Advances in Intelligent Systems and Computing (vol. 853). Springer. https://doi.org/10.1007/978-3-319-99996-8_34
DOI: https://doi.org/10.1007/978-3-319-99996-8_34
Google Scholar
Wachowicz, E. (2002). Zastosowania teorii zbiorów rozmytych do modelowania procesów technologicznych. Inżynieria Rolnicza, 7(40), 5–17.
Google Scholar
Zou, Y., Yan, F., Wang, X., & Zhang, J. (2020). An efficient fuzzy logic control algorithm for photovoltaic maximum power point tracking under partial shading condition. Journal of the Franklin Institute, 357(6), 3135–3149. https://doi.org/10.1016/j.jfranklin.2019.07.015
DOI: https://doi.org/10.1016/j.jfranklin.2019.07.015
Google Scholar
Authors
Andrzej Jardziochandrzej.jardzioch@zut.edu.pl
West Pomeranian University of Technology, Faculty of Mechanical Engineering and Mechatronics Poland
Authors
Wioletta MarczakWest Pomeranian University of Technology, Faculty of Mechanical Engineering and Mechatronics Poland
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