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Agile Decision Support System for Aircraft Design

机译：飞机设计敏捷决策支持系统

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With the increasing complexity of modern aircraft technology and tight coupling among subsystems, the design of aircraft requires collaborative work of experts in various fields to make the right decisions, and therefore achieve the expected performance with less cost and risk. In this paper, an agile decision support system (ADSS) for aircraft design was proposed by comprehensively integrating and applying modeling and simulation (M&S), artificial intelligence, data mining, and group decision-making technology. The ADSS provides a rich set of simulation, assessment, and optimization tools for decision makers, which can offer an important objective reference to effectively improve the decision accuracy. A simulation and test environment was implemented for rapid assessment of different designs based on the developed multidisciplinary and multiphysical coupling virtual prototyping models and three kinds of virtual test methods. In the process of group decision making, valuable application modes can be discovered through data mining to reduce decision-making difficulty and improve the efficiency. Furthermore, a sensitivity analysis-based multilevel optimization strategy was developed for high-dimensional optimization design problems to meet the fast response requirement of the ADSS. Different cases were given for the data mining application, virtual test, and optimization design, respectively, to validate the proposed agile decision-making process.
机译：随着现代飞机技术的日益复杂以及子系统之间的紧密耦合，飞机的设计需要各个领域的专家共同努力，以做出正确的决定，从而以较低的成本和风险来实现预期的性能。本文通过综合集成和应用建模与仿真（M＆S），人工智能，数据挖掘和群体决策技术，提出了一种用于飞机设计的敏捷决策支持系统（ADSS）。 ADSS为决策者提供了丰富的仿真，评估和优化工具集，可以为有效提高决策准确性提供重要的客观参考。基于已开发的多学科，多物理场耦合的虚拟样机模型和三种虚拟测试方法，实现了用于快速评估不同设计的仿真和测试环境。在群体决策过程中，可以通过数据挖掘发现有价值的应用模式，从而降低决策难度，提高效率。此外，针对高维优化设计问题，开发了基于灵敏度分析的多级优化策略，以满足ADSS的快速响应要求。分别针对数据挖掘应用程序，虚拟测试和优化设计给出了不同的案例，以验证所提出的敏捷决策过程。

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