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首页> 外文会议>ASME(American Society of Mechanical Engineers) International Mechanical Engineering Congress: Advanced Energy Systems Division; 20031115-20031121; Washington,DC; US >A DECOMPOSITION STRATEGY APPLIED TO THE OPTIMAL SYNTHESIS/DESIGN AND OPERATION OF AN ADVANCED FIGHTER AIRCRAFT SYSTEM: A COMPARISON WITH AND WITHOUT AIRFRAME DEGREES OF FREEDOM
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A DECOMPOSITION STRATEGY APPLIED TO THE OPTIMAL SYNTHESIS/DESIGN AND OPERATION OF AN ADVANCED FIGHTER AIRCRAFT SYSTEM: A COMPARISON WITH AND WITHOUT AIRFRAME DEGREES OF FREEDOM

机译：适用于高级战斗机系统的最佳合成/设计和操作的分解策略：自由度与自由度的比较

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A decomposition methodology based on the concept of "thermoeconomic isolation" applied to the synthesis/design and operational optimization of an advanced tactical fighter aircraft is the focus of this research. Conceptual, time, and physical decomposition were used to solve the system-level as well as unit-level optimization problems. The total system was decomposed into five sub-systems as follows: propulsion sub-system (PS), environmental control subsystem (ECS), fuel loop sub-system (FLS), vapor compression and PAO loops sub-system (VC/PAOS), and airframe sub-system (AFS) of which the AFS is a non-energy based sub-system. A number of different configurations for each sub-system were considered. The most promising set of candidate configurations, based on both an energy integration analysis and aerodynamic performance, were developed and detailed thermodynamic, geometric, physical, and aerodynamic models at both design and off-design were formulated and implemented. A decomposition strategy called Iterative Local-Global Optimization (ILGO) developed by Munoz and von Spakovsky (2000b,c) was then applied to the synthesis/design and operational optimization of the advanced tactical fighter aircraft. This decomposition strategy is the first to successfully closely approach the theoretical condition of "thermoeconomic isolation" when applied to highly complex, highly dynamic non-linear systems. This contrasts with past attempts to approach this condition, all of which were applied to very simple systems under very special and restricted conditions such as those requiring linearity in the models and strictly local decision variables. This is a significant advance in decomposition and has now been successfully applied to a number of highly complex and dynamic transportation and stationary systems. This paper presents the detailed results from one such application, which additionally considers a non-energy based sub-system (AFS).
机译：基于“热经济隔离”概念的分解方法应用于高级战术战斗机的合成/设计和操作优化是本研究的重点。使用概念，时间和物理分解来解决系统级以及单元级优化问题。整个系统被分解为五个子系统，分别是：推进子系统（PS），环境控制子系统（ECS），燃料回路子系统（FLS），蒸气压缩和PAO回路子系统（VC / PAOS）以及机身子系统（AFS），其中AFS是基于非能源的子系统。考虑了每个子系统的许多不同配置。基于能量集成分析和空气动力学性能，开发了最有前途的候选构型，并在设计和非设计阶段制定并实施了详细的热力学，几何，物理和空气动力学模型。然后，将由Munoz和von Spakovsky（2000b，c）开发的称为局部迭代全局优化（ILGO）的分解策略应用于先进战术战斗机的综合/设计和运行优化。当应用于高度复杂，高度动态的非线性系统时，这种分解策略是第一个成功接近“热经济隔离”理论条件的方法。这与过去尝试接近此条件的尝试形成对比，所有这些尝试都在非常特殊和受限的条件下（例如，要求模型中具有线性和严格局部决策变量的条件）应用于非常简单的系统。这是分解方面的重大进步，现已成功应用于许多高度复杂和动态的运输和固定系统。本文介绍了一个这样的应用程序的详细结果，该应用程序还考虑了基于非能源的子系统（AFS）。

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