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

*† ‡ § 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. Nomenclature

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