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首页> 外文期刊>Simulation modelling practice and theory: International journal of the Federation of European Simulation Societies >Computer-aided physical multi-domain modelling: Some experiences from education and industrial applications
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Computer-aided physical multi-domain modelling: Some experiences from education and industrial applications

机译:计算机辅助物理多域建模:来自教育和工业应用的一些经验

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For the purposes of this paper, computer-aided physical modelling means a type of modelling in which a computer-aided approach is used, with the basic aim being to maintain the physical structure of a real system or its topology as much as possible in the model. Bond graphs represent a very efficient and traditional approach. However, new, object-oriented and multi-domain tools based on the Modelica language are more appropriate for industrial staff or for the people who do not have a deep insight into modelling and simulation. In this paper we describe several educational and industrial application projects in the Dymola-Modelica environment: a process-systems library, two mechanical systems (an inverted pendulum and a laboratory helicopter), a model of thermal and radiation flows in buildings and two models of processes in mineral-wool production, i.e., a pendulum system and a recuperator system. We describe some experiences from these projects, but also from a more general use of the Matlab-Simulink and Dymola-Modelica environments over many years. One simple conclusion is that we need to educate with two approaches: a more physical and advanced acausal Modelica-like approach, but also a more traditional causal or block-oriented approach according to the historical CSSL standard. The important advantages and disadvantages of both approaches are described. The Modelica-based approach enables true 'physical' modelling with fully reusable components. However, there is a particular danger, i.e., users occasionally forget some basic modelling principles when using sophisticated libraries. The result is a very complex modelling structure that is relatively inefficient for the simulation and sometimes has many numerical problems. It is usually very difficult to detect the real reasons for that.
机译:出于本文的目的,计算机辅助物理建模是指一种使用计算机辅助方法的建模,其基本目的是尽可能地维护真实系统的物理结构或其拓扑。模型。键图代表一种非常有效的传统方法。但是,基于Modelica语言的新的,面向对象的和多领域的工具更适合工业人员或对建模和仿真没有深入了解的人员。在本文中,我们描述了Dymola-Modelica环境中的一些教育和工业应用项目:一个过程系统库,两个机械系统(一个倒立摆和一个实验室直升机),一个建筑物中的热流和辐射流模型以及两个模型。矿棉生产中的过程,即摆系统和换热器系统。我们描述了这些项目中的一些经验,以及多年来对Matlab-Simulink和Dymola-Modelica环境的更普遍使用。一个简单的结论是,我们需要用两种方法进行教育:一种更加物理和高级的类似于Modelica的非因果关系的方法,但是根据历史CSSL标准,还需要一种更为传统的因果关系或面向块的方法。描述了两种方法的重要优点和缺点。基于Modelica的方法利用完全可重用的组件实现了真正的“物理”建模。但是,存在特别的危险,即,用户在使用复杂的库时偶尔会忘记一些基本的建模原理。结果是非常复杂的建模结构,对于仿真而言效率相对较低,有时会出现许多数值问题。通常很难找出造成这种情况的真正原因。

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