面向对象模型的QSS和多速率仿真

Federico Bergero, Akshay Ranade, F. Casella
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引用次数: 3

摘要

像Modelica这样的面向对象(O- O)语言允许描述多领域动态模型。这些模型表示微分代数方程(DAE),通常转换为常微分方程(ODE)公式,并使用数值积分方法进行模拟。大多数Modelica工具包括基于时间离散化的单速率集成方法。近年来发展起来的ODE数值积分方法,如量化状态系统(QSS)和多速率算法具有一些特点(稀疏性利用、有效的刚度处理、松耦合方程组的有效集成),使它们适合于许多应用。就其本质而言,这些方法的有效实现需要从不同于经典方法的角度来看待模型,因此在Modelica工具中实现它们并不是一项简单的任务。功能模型接口(FMI)是一个独立于工具的模型交换和协同仿真标准。模型作为编译的二进制文件(功能模拟单元- FMU)交换,带有允许模型评估和模拟的API。FMU将模型呈现为混合ODE,并在其上应用数值积分方法(如欧拉、龙格-库塔)进行仿真。在本文中,我们提出了对FMU API的扩展,以允许通过FMI模型交换对面向0—0的模型进行QSS和多速率仿真。这个扩展打开了测试和微调QSS和多速率算法在广泛的系统模型的可能性。文中给出了两个实例的原型实现结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QSS and multi-rate simulation of object-oriented models
Object-Oriented (O--O) languages like Modelica allow the description of multi-domain dynamical models. These models represent a Differential Algebraic Equation (DAE) that is usually converted to an Ordinary Differential Equation (ODE) formulation and simulated using numerical integration methods. Most Modelica tools include Single-Rate integration methods based on time discretization. Recently developed ODE numerical integration methods like Quantized State Systems (QSS) and Multi-Rate algorithms have some features (sparsity exploitation, efficient stiffness handling, efficient integration of loosely coupled systems of equations) that makes them suitable for many applications. By their nature, efficient implementation of these methods requires a different perspective on the model than classical methods, thus it is not a trivial task to implement them in Modelica tools. The Functional Mock-up Interface (FMI) is a tool independent standard for model exchange and co-simulation. Models are exchanged as compiled binaries (Functional Mockup Unit - FMU) with an API that allows the evaluation and simulation of the model. The FMU presents the model as a hybrid ODE on which numerical integration methods (such as Euler, Runge-Kutta) are applied for simulation. In this article we propose an extension to the FMU API to allow QSS and Multi-Rate simulation of O--O oriented models by means of FMI Model-Exchange. This extension opens up the possibility of testing and fine tuning QSS and Multi-Rate algorithms on a wide range of system models. Some results obtained with a prototype implementation on two example cases are reported.
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