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Exploiting Multidimensional Design of Experiments and Kriging Methods: An Application to a Satellite Radar System Tradespace and Orbital Transfer Vehicle Tradespace

机译:利用实验和Kriging方法的多维设计:应用于卫星雷达系统商标和轨道转移车辆商标的应用

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A major benefit to performing tradespace exploration as early as possible and on as broad of a scale as possible is avoiding premature fixation on potentially non-optimal point designs. As the size of a tradespace grows in both the number of variables and the levels for each variable, the number of alternatives, or allowed combinations of various levels of design variables, grows at a combinatorial rate. The Expedited Tradespace Approximation Method (ETAM) was developed in response to this challenge. ETAM leverages intelligent subsampling and interpolation methods, including design of experiments and Kriging Methods, to generate acceptable data for a large tradespace, using fewer computational resources than applying a performance model to every design point. ETAM is applied to two case studies to demonstrate its accuracy and explore its potential for computational savings.
机译:尽早执行商标空间探索的重大好处,尽可能宽的规模,避免了对潜在的非最佳点设计的过早固定。随着商标空间的大小在变量的数量和每个变量的级别中,各种级别的设计变量的替代类型或允许的组合,以组合速率增长。为响应这一挑战而开发了加快商标近似法(ETAM)。 ETAM利用智能的限制和插值方法,包括实验和Kriging方法的设计,以利用更少的计算资源来为大型商标提供可接受的数据,而不是将性能模型应用于每个设计点。 Etam应用于两种案例研究,以展示其准确性并探索其计算储蓄的潜力。

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