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Model Optimization for A Dynamic Rail Transport System on an Asymmetric Multi-Core System
arXiv - CS - Computational Engineering, Finance, and Science Pub Date : 2020-10-17 , DOI: arxiv-2010.08811
Anas M. Al-Oraiqat, Alexander Y. Ivanov, Yuriy A. Ivanov

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:

基于非对称多核系统的动态轨道交通系统模型优化

考虑了滚动动力学模型的优化问题。在与铁路交互时提供高频安全移动。此外,允许在设计新的和现代化的现有机车时评估动态参数。本研究的对象是轨道交通动态系统模型。本文的目的是通过优化计算过程的组织来提高机车车辆回路模型中数字硬件的效率。对象的数学模型分析使其可以将其归因于硬实时系统类。不同频率的模型相位变量的计算对于优化列车运动的仿真时间是必要的,并且通过将原始算法拆分为并行线程来执行。动态实时对象模型的开发规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和优化软件工具的方法。实验验证了优化模型的可操作性。此外,请允许我们将其推荐用于研究对象的实际用途,并确定操作过程中小车结构元件的动态力。使用循环调度对优化的模型仿真结果进行分析,显示了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提高执行数据处理时的生产力。
更新日期:2020-10-20
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