Abstract
Automation of control pneumatic brakes allows improve safety by eliminating the human factor and to ensure energy-optimized operation of train motion. Subsystem of automatic control pneumatic brakes is part of the on-board autopilot system of the train. Based on the analysis of existing relay systems of automatic control of the brake is proposed and studied the control algorithm that uses nonlinear feedback from pressure in the brake cylinders and derivative of error speed control. To calculate the feedback signal used mathematical apparatus of fuzzy logic. Computational experiments were conducted using a software simulator of driver of the freight locomotive that is part of the teaching-research laboratory and training complex “Virtual railway RSTU”. In paper investigated the stabilization mode the velocity of the train on long downhill with a slope of 9 % with application of the pneumatic brakes. Shows efficiency of the proposed algorithm in comparison with known.
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Konstantin, Y. (2016). Automatic Control of Train Brakes with Fuzzy Logic. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds) Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16). Advances in Intelligent Systems and Computing, vol 451. Springer, Cham. https://doi.org/10.1007/978-3-319-33816-3_34
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DOI: https://doi.org/10.1007/978-3-319-33816-3_34
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