Modeling the train operation of the mainline locomotive

Abstract

To date, there is a large number of programs that simulate the train operation of the locomotive using the method of traction calculations. As input data in the program, information is entered about the track section, locomotive and train composition. The drawback of modeling the train motion using the traction calculation method is the obtaining of a local unimportant result for a particular section of the track. The article proposes a new approach to modeling the operation of freight mainline locomotive. The train operation of the mainline locomotive is represented by a limited number of generalized modes depending in turn on a limited set of initial conditions - the profile of the track section, the weight of the train, the speed of the locomotive, etc. In this case, the elements of the set of initial conditions are random variables. The advantage of the proposed approach is the ability to give a generalized assessment of the change in the performance of the locomotive train when introducing new elements and control algorithms into the diesel generator unit without linking to a particular section of the track. Comparison of the time of work on the positions of the driver's controller was obtained during the year by mathematical modeling and experienced runs with diesel locomotives of the 2TE116U series at Oktyabrskaya Railway, a branch of the Russian Railways. It showed that the maximum discrepancy between calculated and experimental data does not exceed 5 %. The proposed algorithm for simulating the train operation of the freight mainline locomotive allows reproducing the locomotive train performance parameters with an acceptable accuracy for practice. It can be used to obtain quantitative estimates of the impact of changes in the performance of the train operation of long-distance freight diesel locomotives when new elements and control algorithms are introduced into the diesel generator unit.