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Modelling and analysis of the non-iterative coupling process for co-simulation

机译:联合仿真的非迭代耦合过程的建模与分析

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Concerning non-iterative co-simulation, stepwise extrapolation of coupling signals is required to solve an overall system of interconnected subsystems. Each extrapolation is some kind of estimation and is directly associated with an estimation error. The introduced disturbance depends significantly on the macro-step size, i.e. the coupling step size, and influences the entire system behaviour. In addition, for synchronization purposes, sampling of the coupling signals can cause aliasing. Instead of analysing the coupling effects in the time domain, as it is commonly practised, we concentrate on a model-based approach to gain more insight into the coupling process. In this work, we consider commonly used polynomial extrapolation techniques and analyse them in the frequency domain. Based on this system-oriented point of view of the coupling process, a relation between the coupling signals and the macro-step size is available. In accordance to the dynamics of the interconnected subsystems, the model-based relation is used to select the most critical parameter, i.e. the macro-step size. Besides a 'rule of thumb' for meaningful step-size selection, a co-simulation benchmark example describing a two degree of freedom (2-DOF) mechanical system is used to demonstrate the advantages of modelling and the efficiency of the proposed method.
机译:关于非迭代协同仿真,需要耦合信号的逐步外推法来解决互连子系统的整个系统。每种推断都是某种估计,并且直接与估计误差相关。引入的干扰在很大程度上取决于宏步长,即耦合步长,并影响整个系统的性能。另外,出于同步目的,耦合信号的采样可能导致混叠。我们没有像通常那样在时域中分析耦合效应,而是专注于基于模型的方法来获得对耦合过程的更多了解。在这项工作中,我们考虑了常用的多项式外推技术,并在频域中对其进行了分析。基于耦合过程的这种面向系统的观点,可获得耦合信号与宏步长之间的关系。根据互连子系统的动态,基于模型的关系用于选择最关键的参数,即宏步长。除了用于有意义的步长选择的“经验法则”之外,还使用描述了两个自由度(2-DOF)机械系统的共同仿真基准示例来证明建模的优点和所提出方法的效率。

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