Improvement the efficiency of using the electric cargo locomotives automatic control system on data of current measurements of onboard systems and instant traction calculations

The article proposes an approach to improve the efficiency of using the automatic train guidance system based on instantaneous traction calculations using the actual movement parameters according to current measurements of on-board systems of electric locomotives. A critical analysis of scientific research on the improvement of auto-guidance systems for freight mainline electric locomotives based on modern technologies and machine learning algorithms, neural networks has been carried out. As a rule, all existing approaches to determining the optimal train driving modes are based on the application of traction calculation rules with the empirical setting of movement resistances and other factors without taking into account the real influence of the external environment. The results of comparison of traction calculations in the section of the West Siberian test site according to the current rules and in the KORTES program with the actual data of the on-board measurement systems of the 2ES6 series electric locomotive are presented. Based on the data deciphered from the recorders of motion parameters of electric locomotives of the 2ES6 series, the laws of control of the excitation current at rheostatic and running positions in the traction mode are investigated. The possibility of using the measured data of the on-board systems of electric locomotives to determine the parameters of the train, including the torque of the traction motors, the traction force of the electric locomotive sections, the actual total resistance to movement, inertial properties, etc., is substantiated. The calculation of these parameters for the traction mode is performed. The concept of equivalent mass is introduced and expressions are presented for determining the parameters of a train based on the equation of motion in the form of small increments of measured and calculated data. The obtained results of determining the parameters of the train based on instantaneous traction calculations and data of current measurements of the on-board systems of electric locomotives showed statistical stability and can be used in real time for automatic train guidance systems, providing an increase in the accuracy of determining control actions, taking into account the actual influence of the external environment and increasing the efficiency of using the automatic guidance system for freight trains. locomotives in general.