The process of designing a complex system, formed by many elements and sub-elements interacting between each other, is usually completed at a system level and in the preliminary phases in two major steps: design-space exploration and optimization. In a classical approach, especially in a company environment, the two steps are usually performed together, by experts of the field inferring on major phenomena, making assumptions and doing some trial-and-error runs on the available mathematical models. To support designers and decision makers during the design phases of this kind of complex systems, and to enable early discovery of emergent behaviours arising from interactions between the various elements being designed, the authors implemented a parametric methodology for the design-space exploration and optimization. The parametric technique is based on the utilization of a particular type of matrix design of experiments, the orthogonal arrays. Through successive design iterations with orthogonal arrays, the optimal solution is reached with a reduced effort if compared to more computationally-intense techniques, providing sensitivity and robustness information. The paper describes the design methodology in detail providing an application example that is the design of a human mission to support a lunar base.
Orthogonal-Array based Design Methodology for Complex, Coupled Space Systems / Ridolfi, Guido; Mooij, Erwin; Cardile, Diego; Corpino, Sabrina; Stesina, Fabrizio. - ELETTRONICO. - 7:(2010), pp. 5840-5853. (Intervento presentato al convegno 61st International Astronautical Congress 2010 tenutosi a Prague (CZ) nel 27 September 2010 - 1 October 2010).
Orthogonal-Array based Design Methodology for Complex, Coupled Space Systems
RIDOLFI, GUIDO;CARDILE, DIEGO;CORPINO, Sabrina;STESINA, FABRIZIO
2010
Abstract
The process of designing a complex system, formed by many elements and sub-elements interacting between each other, is usually completed at a system level and in the preliminary phases in two major steps: design-space exploration and optimization. In a classical approach, especially in a company environment, the two steps are usually performed together, by experts of the field inferring on major phenomena, making assumptions and doing some trial-and-error runs on the available mathematical models. To support designers and decision makers during the design phases of this kind of complex systems, and to enable early discovery of emergent behaviours arising from interactions between the various elements being designed, the authors implemented a parametric methodology for the design-space exploration and optimization. The parametric technique is based on the utilization of a particular type of matrix design of experiments, the orthogonal arrays. Through successive design iterations with orthogonal arrays, the optimal solution is reached with a reduced effort if compared to more computationally-intense techniques, providing sensitivity and robustness information. The paper describes the design methodology in detail providing an application example that is the design of a human mission to support a lunar base.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2376864
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