The Automated Control System Stability for the High-speed Electric Trains Technical Condition

methods with a discrete representation of time are chosen, when, in accordance with the graph of transitions, the state of the system at each subsequent moment in time is completely determined by its state at the previous moment. For the software implementation of the model, the dynamic modeling apparatus “Petri Nets” has been chosen, which correspond quite accurately to Markov chains. The developed automated control system stability control model is programmatically implemented in the algorithmic language Visual Basic for Applications (VBA) in the MS Excel environment. Results: as an example of the application of the model, the article considers the MRO logistics system. It was revealed that if the system parameters are incorrectly selected, self-fluctuations in the stock of the repair kit in the warehouse are possible. This can lead to a shortage of the transition stock and disruptions in the MRO operation. It is shown that fluctuations and shortages can be avoided by selecting the parameters of the automated control system through iterative modeling, with sequential changes in the system parameters. Practical significance: the proposed method and the developed software are useful: at the design stage of the MRO control system, with a significant change in the parameters of the current MRO control system.