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Multidisciplinary Unmanned Combat Air Vehicle system design using Multi-Fidelity Model

机译:基于多保真模型的多学科无人战斗机系统设计

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This paper describes the Multidisciplinary Design Optimization (MDO) of Unmanned Combat Air Vehicle (UCAV) using Multi-Fidelity Model (MFM). Multidisciplinary feasible approach is implemented to decompose a coupling variable in a mission and a weight analysis module effectively. The necessary low-fidelity codes, which are based on empirical equations, are developed and validated for aircraft conceptual design. Meanwhile, the strategy of MFM, which constructs accurate and reliable meta-models by using the high-fidelity analysis, is implemented to improve the accuracy of the design method for UCAVs without any noticeable increase in design turnaround time. Minimization of multi-objective design optimization which consists of range and weight is performed and the design result shows the feasibility and effectiveness of the present multi-fidelity technique under MDO problem.
机译:本文介绍了使用多保真模型(MFM)的无人战斗机(UCAV)的多学科设计优化(MDO)。实现了多学科可行方法,以有效地分解任务和权重分析模块中的耦合变量。根据经验方程式开发了必要的低保真度代码,并进行了飞机概念设计验证。同时,通过使用高保真度分析构建准确可靠的元模型的MFM策略可以提高UCAVs设计方法的准确性,而不会显着增加设计周转时间。进行了由范围和权重组成的多目标设计优化的最小化,设计结果表明了在MDO问题下当前多保真技术的可行性和有效性。

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