The problem of optimization of the rolling dynamics model is considered. That providing safe movement at high frequency when interacting with the railway. Moreover, allowing to evaluate the dynamic parameters when designing new and modernizing existing locomotives. The object of this research is a rail transport dynamic system model. The article's purpose is to increase the efficiency of the digital hardware in the rolling stock loop model by optimizing the organization of the computing process. The mathematical model analysis of the object made it possible to attribute it to the class of hard real-time systems. The computation of the model phase variables with different frequencies is necessary to optimize the simulation time of the train movements and is performed by splitting the original algorithm into parallel threads. The developed planning algorithm and the cyclic schedule implementation for the model of a dynamic real-time object consider microarchitecture solutions of symmetric multiprocessor systems with shared memory and methods for optimizing software tools. The experiments confirmed the operability of the optimized model. Also, allow us to recommend it for practical use in studying objects and determine the dynamic force of trolley structural elements during operation. Analysis of the optimized model simulation results, using cyclic schedules shows the correspondence of the obtained simulation results to the standard. The main advantage of the model is the increase in productivity when performing data processing by reducing the processor time. The optimized cyclic schedule algorithm of the semi-natural modeling platform is used for the subsequent development of the control system in real and accelerated time scales.

中文翻译：

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不对称多核系统上动态铁路运输系统的模型优化

考虑了滚动动力学模型的优化问题。与铁路互动时，可提供高频率的安全运动。此外，允许在设计新的和现代化的机车时评估动态参数。本研究的目标是铁路运输动态系统模型。本文的目的是通过优化计算过程的组织来提高机车车辆循环模型中数字硬件的效率。对对象的数学模型分析使其有可能归因于硬实时系统。为了优化列车运动的仿真时间，必须使用不同频率的模型相位变量进行计算，这是通过将原始算法分为并行线程来执行的。针对动态实时对象模型开发的计划算法和循环调度实现考虑了具有共享内存的对称多处理器系统的微体系结构解决方案以及软件工具的优化方法。实验证实了优化模型的可操作性。另外，允许我们推荐它用于研究对象的实际用途，并确定操作过程中手推车结构元件的动力。使用循环调度表对优化的模型仿真结果进行分析，可以显示所获得的仿真结果与标准的对应关系。该模型的主要优点是通过减少处理器时间来执行数据处理时提高了生产率。