Automated generation of multiphysics simulation models to support multidisciplinary design optimization
Automated generation of multiphysics simulation models to support multidisciplinary design optimization
复制标题
DOI：
10.1016/j.aei.2015.07.004
复制
发表时间：
2015-10
期刊：
影响因子：
--
通讯作者：
F. Tian;M. Voskuijl
中科院分区：
文献类型：
--
作者：
F. Tian;M. Voskuijl
为了保证面向多学科分析的设计表达的一致性，本研究采用基于知识的工程方法，提出了一个支持多学科设计优化过程的智能建模系统，自动生成多个物理仿真模型。多物理信息模型是该系统的一个重要组成部分，它集成了多个工程领域的设计和仿真知识。智能建模系统定义了具有属性的类，以表示物理实体的各个方面。此外，它还使用控制体系结构、仿真测试动作和仿真程序等功能来捕获非物理信息。在知识获取过程中，考虑了系统耦合的挑战和学科间的相互作用。根据领域需求，智能建模系统从MIM中提取所需的知识，并使用这些知识实例化各个子模型，然后通过组合所有子模型来构建多物理仿真模型。这项研究的目的是减少复杂系统建模的时间和精力，并提供一个一致的、并行的设计环境来支持多学科设计优化。以一种不稳定无人驾驶飞行器--多旋翼无人机的研制为例。智能建模系统通过对30,000个具有不同拓扑结构的多旋翼无人机设计进行建模，并确保针对每个单独设计自动开发一致的控制系统。并与实际四旋翼无人机的飞行数据进行了对比，验证了多旋翼无人机多物理仿真模型的有效性。结果表明，多物理仿真模型与试验数据吻合较好，表明该模型自动生成过程可以生成高保真的模型。
To ensure a consistent design representation for serving multidisciplinary analysis, this research study proposes anintelligent modeling systemto automatically generatemultiphysics simulation modelsto support multidisciplinary design optimization processes by using a knowledge based engineering approach. A key element of this system is amultiphysics information model(MIM), which integrates the design and simulation knowledge from multiple engineering domains. Theintelligent modeling systemdefines classes with attributes to represent various aspects of physical entities. Moreover, it uses functions to capture the non-physical information, such as control architecture, simulation test maneuvers and simulation procedures. The challenge of system coupling and the interactions among the disciplines are taken into account during the process of knowledge acquisition. Depending on the domain requirements, theintelligent modeling systemextracts the required knowledge from the MIM and uses this first to instantiate submodels and second to construct themultiphysics simulation modelby combining all submodels. The objective of this research is to reduce the time and effort for modeling complex systems and to provide a consistent and concurrent design environment to support multidisciplinary design optimization. The development of an unstable and unmanned aerial vehicle, a multirotor UAV, is selected as test case. Theintelligent modeling systemis demonstrated by modeling thirty-thousand multirotor UAV designs with different topologies and by ensuring the automatic development of a consistent control system dedicated for each individual design. Moreover, the resultingmultiphysics simulation modelof the multirotor UAV is validated by comparing with the flight data of an actual quadrotor UAV. The results show that themultiphysics simulation modelmatches test data well and indicate that high fidelity models can be generated with the automatic model generation process.