Article

Received 22.01.2025

Revised 28.05.2025

Accepted 20.06.2025

Retrieved from Vol. 28, No. 1, 2025

Pages 145 -160

Gorobchenko, O., Zaika, D., Maliuk, S., Arkhypov, O., & Nevedrov, O. (2025). Research of theoretical basis of implementation of intelligent control systems for locomotive traction transmission. The National Transport University Bulletin: A Scientific and Technical Journal, 28(1), 145-160. https://doi.org/10.32703/2617-9040-2025-45-11

Research of theoretical basis of implementation of intelligent control systems for locomotive traction transmission

Oleksandr Gorobchenko Denys Zaika Sergiy Maliuk Oleksander Arkhypov Oleksandr Nevedrov

The paper presents an analysis of existing automated control systems based on artificial intelligence theory.  These  systems  employ  methods  such  as  fuzzy  logic,  artificial  neural  networks,  and  genetic algorithms. The application of these techniques enables the development of more adaptive and efficient control  systems  compared  to  traditional  approaches.  The  main  areas  of  artificial  intelligence application  in  railway  transport  are  identified,  particularly  in  locomotive  control  systems  and optimization  of  operational  modes.  The  fundamental  stages  of  artificial  intelligence-based  model development  are  outlined, including  data  collection  and  model  training.  Key  directions  for  modeling intelligent  systems  are  established.  A  generalized  approach  is  proposed  for  the  development  of  an intelligent traction transmission control system for shunting locomotives, taking into account the rolling stock  characteristics  and  operational  conditions.  For  solving  control  tasks,  the  use  of  a  production model  is  proposed,  which  integrates  elements  of  both  logical  and  network-based  approaches.  A production model is proposed for solving control tasks

railway transport; rolling stock; control; artificial intelligence; Mamdani method; risk; traction electric transmission; safety
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https://doi.org/10.32703/2617-9040-2025-45-11