Stability of multi-rate simulation algorithms

R. Bednar, R. Crosbie
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引用次数: 22

Abstract

Multi-rate simulation, in which a differential-equation model is partitioned into segments that are solved using different integration step lengths, has the potential to speed up simulations significantly. This is an important consideration especially for studies that involve many repeated simulation runs (e.g. multi-parameter, multi-objective optimizations) as well as for real-time simulation of systems with a wide dynamic range. The multi-rate approach does however raise questions of accuracy and stability arising from the methods of communicating data between segments and the effects of using different integration step lengths. A stability analysis of multi-rate integration is presented in which a general form of vector difference equation is developed that can be applied to the combination of a given system and an explicit, single-step integration algorithm. This yields stability criteria that provide information about permissible step lengths and system parameters. For the purposes of this analysis a number of simplifying assumptions are made. It is assumed that the system is divided into two regions, that the differential equations are linear and that a zero-order hold is used in communicating data between segments.
多速率仿真算法的稳定性
在多速率模拟中,微分方程模型被分割成不同的部分,使用不同的积分步长来求解,有可能显著加快模拟速度。这是一个重要的考虑因素,特别是对于涉及许多重复仿真运行的研究(例如,多参数,多目标优化)以及具有大动态范围的系统的实时仿真。然而,多速率方法确实提出了准确性和稳定性的问题,这些问题来自分段之间的数据通信方法和使用不同积分步长的影响。本文对多速率积分的稳定性进行了分析,提出了一种适用于给定系统和单步显式积分算法相结合的矢量差分方程的一般形式。这产生了稳定性标准,提供了有关允许步长和系统参数的信息。为了这个分析的目的,作了一些简化的假设。假设系统被分为两个区域,微分方程是线性的,并且在段之间的数据通信中使用零阶保持器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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