Train Operation Control on-based of Logical-Linguistic Model

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...

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Main Authors: K.I. Yurenko, P.A. Kharchenko, E.I. Fandeev, I.K. Yurenko
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2019-03-01
Series:EAI Endorsed Transactions on Energy Web
Subjects:
Online Access:https://eudl.eu/pdf/10.4108/eai.13-7-2018.156388
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spelling doaj-fa588cf1f88a458fb9a0b7397a58ed2b2020-11-25T01:16:35ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2019-03-0162210.4108/eai.13-7-2018.156388Train Operation Control on-based of Logical-Linguistic ModelK.I. Yurenko0P.A. Kharchenko1E.I. Fandeev2I.K. Yurenko3Rostov State Transport University, 2, sq. Rostovskogo Strelkovogo Polka Narodnogo Opolcheniya, Rostov-on-Don, Russia, 344038, RussiaJoin stock company "Russian Railways", the operational locomotive depot Likhaya, 1, district Likhovsky, Kamenskcity, Rostov region, 347820, RussiaPlatov South-Russian State Polytechnic University (NPI), 132, Prosvesheniya Street, Novocherkassk, 346428, Russiaindependent researcher, 36, Gvardeyskaya Street, Novocherkassk, 346405, RussiaThe 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.https://eudl.eu/pdf/10.4108/eai.13-7-2018.156388on-board control systemsuburban electric trainspassenger trainfuzzy logiclogical-linguistic simulationcomputing experimentautodriver
collection DOAJ
language English
format Article
sources DOAJ
author K.I. Yurenko
P.A. Kharchenko
E.I. Fandeev
I.K. Yurenko
spellingShingle K.I. Yurenko
P.A. Kharchenko
E.I. Fandeev
I.K. Yurenko
Train Operation Control on-based of Logical-Linguistic Model
EAI Endorsed Transactions on Energy Web
on-board control system
suburban electric trains
passenger train
fuzzy logic
logical-linguistic simulation
computing experiment
autodriver
author_facet K.I. Yurenko
P.A. Kharchenko
E.I. Fandeev
I.K. Yurenko
author_sort K.I. Yurenko
title Train Operation Control on-based of Logical-Linguistic Model
title_short Train Operation Control on-based of Logical-Linguistic Model
title_full Train Operation Control on-based of Logical-Linguistic Model
title_fullStr Train Operation Control on-based of Logical-Linguistic Model
title_full_unstemmed Train Operation Control on-based of Logical-Linguistic Model
title_sort train operation control on-based of logical-linguistic model
publisher European Alliance for Innovation (EAI)
series EAI Endorsed Transactions on Energy Web
issn 2032-944X
publishDate 2019-03-01
description 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.
topic on-board control system
suburban electric trains
passenger train
fuzzy logic
logical-linguistic simulation
computing experiment
autodriver
url https://eudl.eu/pdf/10.4108/eai.13-7-2018.156388
work_keys_str_mv AT kiyurenko trainoperationcontrolonbasedoflogicallinguisticmodel
AT pakharchenko trainoperationcontrolonbasedoflogicallinguisticmodel
AT eifandeev trainoperationcontrolonbasedoflogicallinguisticmodel
AT ikyurenko trainoperationcontrolonbasedoflogicallinguisticmodel
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