DESA:使用自定义注释优化变结构模型

Daniel Bender
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引用次数: 11

摘要

优化系统模型以支持设备部件或整体架构的设计过程是日常工程工作的一部分。由于模型的多样性,对这些库的功能的需求是巨大的。通过自动化优化找到最优结构设计(如冷板)超出了正常需求。在这里,模型必须提供结构可变性。对于Modelica语言,这已经达到了其处理此类模型以进行优化的功能的极限。使用元信息(如自定义注释)可以增加Modelica语言的功能。一种名为DESA的工具被开发出来,以克服这些限制并处理变结构模型。该库使用自定义注释来实现模型的优化任务。进一步导出模型,包括这些元信息。然后,DESA优化工具允许在Matlab环境中设置优化任务并运行优化运行。这样就实现了变结构模型的优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DESA: Optimization of variable structure modelica models using custom annotations
Optimizing system models in order to support the design process of equipment components or whole architectures is part of daily engineering work. Due to the variety of models, the requirements for the functionalities of such libraries are enormous. Finding the optimal structural design (i.e. of a cold plate) through automated optimization exceeds normal needs. Here the model must provide structural variability. In case of the Modelica language this reaches the limit of its functionality of handling such models for optimization. The use of meta-information such as custom annotations can increase the functionality of the Modelica Language. A tool, called DESA, was developed to overcome these limitations and handle variable structure models. This library uses custom annotations to implement the optimization task to the model. Further the model is exported including these meta-information. The DESA optimization tool then allows to set up the optimization task in a Matlab environment and operates the optimization run. In this way the optimization of variable structure models is achieved.
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