Matviienko S. Improvements of determining the train traction operational standards based on data of experimental trips

The thesis represents the solution of important scientific and practical tasks: prediction of traction operational standards based on data of experimental trips using simulation. This enables to reduce the costs of experimental trips and to increase their quality level. According to this approach, local operating conditions determine divergences between ideal (passport) and actual model characteristics. The set of correcting factors raises the model adequacy, and the model is used in statistic simulation for train traction operational standards determining and optimization. To do this, the author developed the principle of defining the main parameters of the model, the criterion and method of optimizing control modes and corresponding algorithms of computations. Simulation results and their comparison with experimental trips data confirmed the model to be correct (fractional accuracy of calculation of schedule and fuel/energy consumption decline in four times). The author presented examples of determining the train weight standards, train schedule and train operation modes according to the established schedule, which allow to attain the total economy of traction fuel and energy consumption on 9…12,2%. Also he researched these rates for resistance with fluctuation of technical condition of the locomotive and train, that allows to specify local traction power consumption standards. The presented results increase the efficiency of determining the train traction operational standards and contribute to the economy of locomotives in operation.