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引用次数: 5

摘要

宏观模型在过程工程中应用广泛,通常可以表示为DAE(微分代数方程)模型。本文比较了解决此类DAEs的三种通用工具:OpenModelica、Julia和MATLAB。为了使比较具体化,我们通过删除简化假设,扩展了文献中的一个简单非线性过程模型;更复杂的模型被表示为DAEs。给出了DAE模型在OpenModelica、Julia和MATLAB中的一些实现细节。给出了选定的仿真结果及其执行时间。三种工具的模拟结果一致。然后对这些工具进行比较。成本、易用性、文档、数字质量、生态系统,以及模型/库重用的可能性。总的来说,Julia似乎是最好的选择。但是,人们发现Modelica更容易使用,因此理想的解决方案可能是将Modelica与Julia紧密集成。
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Comparison of simulation tools for dynamic models
Macroscopic models are used extensively in process engineering, and can often be posed as DAE (Differential Algebraic Equation) models. Three generic tools for solving such DAEs are compared: OpenModelica, Julia, and MATLAB. To make the comparison concrete, a simple non-linear process model from the literature was extended by removing simplifying assumptions; the more complex model was posed as DAEs. Some implementation details of DAE models in OpenModelica, Julia, and MATLAB are given. Selected simulation results are given, with resulting execution time. The three tools gave identical simulation results. The tools are then compared wrt. cost, ease of use, documentation, numeric quality, Eco-system , and possibility for reuse of models/library. Overall, Julia appears may appear as the best choice. However, Modelica is found to be easier to use, so an ideal solution would probably be some tight integration of Modelica with Julia.
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