System engineering design optimisation under uncertainty for preliminary space mission

Tools

Croisard, Nicolas and Vasile, Massimiliano; (2009) System engineering design optimisation under uncertainty for preliminary space mission. In: 2009 IEEE Congress on Evolutionary Computation. IEEE Congress on Evolutionary Computation, 1-5 . IEEE, NOR, pp. 324-331. ISBN 978-1-4244-2958-5 (https://doi.org/10.1109/CEC.2009.4982965)

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Abstract

This paper proposes a way to model uncertainties and to introduce them explicitly in the design process of a preliminary space mission. Traditionally, a system margin approach is used in order to take them into account. In this paper, instead, evidence theory is proposed to crystallize the inherent uncertainties. The design process is then formulated as an optimisation under uncertainty (OUU) problem. An evolutionary multi-objective approach is used to solve the OUU. Two formulations of the OUU are analyzed: a bi-objective formulation and a complete belief function optimisation. The BepiColombo mission is used as a test case to investigate the benefits of the proposed method and to compare the two formulations.

ORCID iDs

Croisard, Nicolas and Vasile, Massimiliano ORCID logoORCID: https://orcid.org/0000-0001-8302-6465;
CORE (COnnecting REpositories)