ew 19(22): e4

Research Article

Train Operation Control on-based of Logical-Linguistic Model

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  • @ARTICLE{10.4108/eai.13-7-2018.156388,
        author={K.I.  Yurenko and P.A. Kharchenko and E.I. Fandeev and I.K. Yurenko},
        title={Train Operation Control on-based of Logical-Linguistic Model},
        journal={EAI Endorsed Transactions on Energy Web},
        keywords={on-board control system, suburban electric trains, passenger train, fuzzy logic, logical-linguistic simulation, computing experiment, autodriver},
  • K.I. Yurenko
    P.A. Kharchenko
    E.I. Fandeev
    I.K. Yurenko
    Year: 2019
    Train Operation Control on-based of Logical-Linguistic Model
    DOI: 10.4108/eai.13-7-2018.156388
K.I. Yurenko1,*, P.A. Kharchenko2, E.I. Fandeev3, I.K. Yurenko4
  • 1: Rostov State Transport University, 2, sq. Rostovskogo Strelkovogo Polka Narodnogo Opolcheniya, Rostov-on-Don, Russia, 344038, Russia
  • 2: Join stock company "Russian Railways", the operational locomotive depot Likhaya, 1, district Likhovsky, Kamenskcity, Rostov region, 347820, Russia
  • 3: Platov South-Russian State Polytechnic University (NPI), 132, Prosvesheniya Street, Novocherkassk, 346428, Russia
  • 4: independent researcher, 36, Gvardeyskaya Street, Novocherkassk, 346405, Russia
*Contact email: ki-yurenko@yandex.ru


The article presents a new approach to control of train movement based on a combination of terminal (finite) and fuzzy control methods using a logical-linguistic model whose numerical parameters are determined on the basis of search optimization and simulation modeling. The results of computational experiments are presented and given recommendations to the application and further development of the proposed approach. In particular, the proposed logicallinguistic model can be used in the construction of on-board systems of suburban electric trains.