Development of the railway point electric heating intellectual control algorithm

• Autorzy: Muhitovs Ruslans , Mezitis Mareks , Korago Ilja

Identyfikatory

DOI

10.21307/tp-2020-007

• Języki publikacji: EN

Abstrakty

EN

The article reviews and describes the problems of the railway point heating conventional control system considering its structure, simple design, disadvantages and nonconformity. As a solution to the described problem, an innovative and advanced point heating control algorithm is proposed based on Mathlab’s Fuzzy Logic Designer module, which will allow control of heating more effectively and intellectually. The tasks for the advanced and intellectual point heating control system were set. The interdependency of different input variables and their weights of the proposed algorithm are shown and described. Conclusions show that the approach of introducing a control algorithm based on Fuzzy Logic will allow to control point heating in a more advanced and efficient way -switching on and off based on the interdependency of different weather conditions and eather forecast; the input data control system will decide automatically when to switch the heating on and off.

Słowa kluczowe

EN

railway; point heating; railway point; intellectual algorithm; fuzzy logic

PL

kolej; ogrzewanie punktowe; punkt kolejowy; algorytm intelektualny; logika rozmyta

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2020
• Tom: T. 15, z. 1
• Strony: 71--79
• Opis fizyczny: Bibliogr. 15 poz.

Twórcy

autor

Muhitovs Ruslans

• Riga Technical University, Azenes st. 12-K1, LV-1048, Riga, Latvia

autor

Mezitis Mareks

• Riga Technical University, Azenes st. 12-K1, LV-1048, Riga, Latvia

autor

Korago Ilja

• Riga Technical University, Azenes st. 12-K1, LV-1048, Riga, Latvia

Bibliografia

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• 2. Kargin, A. & Panchenko, S. & Vasiljevs, A. & Petrenko, T. Implementation of cognitive perception functions in fuzzy situational control model. Procedia Computer Science. 2019. Vol. 149. P. 231-238.
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• 13. Latvian Railway - Key Performance Indicators. Available at: https://www.ldz.lv/sites/default/files/LDZ-raditaji-2019-LV-web.pdf.
• 14. Сапожников, В.В. & Сапожников, Вл.В. & Шаманов, В.И. Надежность систем железнодорожной автоматики, телемеханики и связи. Москва: Маршрут. 2003. 263 p. [In Russian: Sapozhnikov, V.V. & Sapozhnikov, Vl.V. & Shamanov, V.I. Reliability of railway automation, telemechanics and communication systems. Moscow: Marshrut].
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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).