Authors K.I. Yurenko, E.I. Fandeev
Month, Year 08, 2016 @en
Index UDC 621.337.1:681.326.3
DOI 10.18522/2311-3103-2016-8-88102
Abstract The article considers the principles of design of railway rolling stock automatic driving sys-tems. The most widespread class of such systems in our country is the autonomous on-board au-tomatic driving systems. Their implementation and application allow increasing the safety and energetic efficiency of rail transport, improving the working conditions of locomotive crews. Ana-lyzed are the history of development and structural functional schemes of these systems. Considered are the programmed devices of automatic driving, which include one to three programs of traffic, calculated previously in the laboratory, and also the modern dual circuit systems comprising the speed controller, the time of motion controller and the program block assuming an implementation of the proactive traction calculation on-board in real time. A formal statement of the optimal control problem for the train motion is presented in a vector form. The most common optimality criterion in this problem is the minimum power consumption on traction. Shown are the main approaches proposed by different scientific schools, i.e. the classical calculus of variations, maximum principle and dynamic programming. Their advantages and disadvantages are marked. Shown is the graph of the allowable shifts of the train motion optimal regimes. We propose an approach to the study of on-board automatic driving which is based on the execution of computational experiments with simulation model. This model is developed by the authors in the environment of visual block-oriented modeling Simulink in the matrix system of computer mathematics Matlab and allows investigating the algorithms of automatic driving trains with a view of their improvement. Its structure and an example of the train motion curve calculation are presented.

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Keywords Autodriver; rolling-stock; energy optimal control; program of motion; structural-functional scheme; soft-hardware complex; simulation modeling.
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