Train operation control on-based of logical-linguistic model

被引：0
|
作者：
Yurenko K.I. [1 ]
Kharchenko P.A. [2 ]
Fandeev E.I. [3 ]
Yurenko I.K. [4 ]
机构：
[1] Rostov State Transport University, 2, sq. Rostovskogo Strelkovogo Polka Narodnogo Opolcheniya, Rostov-on-Don
[2] Join Stock Company 'Russian Railways' the Operational Locomotive Depot Likhaya, 1, district Likhovsky, Kamenskcity, Rostov region
[3] Platov South-Russian State Polytechnic University (NPI), 132, Prosvesheniya Street, Novocherkassk
[4] 36, Gvardeyskaya Street, Novocherkassk
来源：
EAI Endorsed Transactions on Energy Web | 2019年 / 19卷 / 22期
关键词：
Autodriver; Computing experiment; Fuzzy logic; Logical-linguistic simulation; On-board control system; Passenger train; Suburban electric trains;
D O I：
10.4108/eai.13-7-2018.156388
中图分类号：
学科分类号：
摘要：
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. © 2019 K.I. Yurenko et al.
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