Abstract—The article presents a simulation model of the anti-slip system processes in the wheel-rail contact, taking into account track gradients and operational conditions. The model is implemented in the Dymola environment and includes: 1) the single SubWagon model using Modelica Mechanics Translational; 2) a traction control and speed self-regulation model of the new-generation KZ8A locomotive; 3) a wheel-rail contact model for analyzing slip and slide phenomena; 4) a computer model of the anti-slip system. In constructing the model, the geographical and topographical features of the real Agadyr-Darya railway section were taken into account, simulating the movement of a train composed of one KZ8A locomotive section and 35 freight wagons. To describe the control logic, Harel’s finite state machine formalism (Statecharts) was applied, which enabled the reproduction of adhesion characteristics under various frictional conditions of the rail surface. The simulation experiment results demonstrated that the developed model reliably reproduces the behavior of traction rolling stock under real operating conditions. This allowed for the synthesis of an adaptive speed controller that accounts for local adhesion coefficient values and the longitudinal track profile (gradients, resistances). The approaches proposed in this work enable preliminary evaluation of the performance of train control systems on specific railway sections before testing or commissioning, as well as modeling the operation of rolling stock under various operational conditions.

Keywords—railway transport, intelligent system, automated control systems, modeling, anti-slip system, wheel-rail traction, speed auto-regulation

Cite: Kanibek Sansyzbay, Yelena Bakhtiyarova, Temyrbay Chigambaev, Bakytzhan Shalabayev,Laura Tasbolatova, and Daniyar Sagmedinov, "Modeling of the Anti-Slip System Processes in the Wheel-Rail Contact of a New Generation Electric Locomotive," International Journal of Mechanical Engineering and Robotics Research, Vol. 14, No. 6, pp. 685-698, 2025. doi: 10.18178/ijmerr.14.6.685-698

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).