System engineering design optimisation under uncertainty for preliminary space mission

Nicolas Croisard, Massimiliano Vasile

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publication2009 IEEE Congress on Evolutionary Computation
Subtitle of host publicationCEC'09
PublisherIEEE
Pages324-331
Number of pages8
Volume1-5
ISBN (Print)978-1-4244-2958-5
DOIs
Publication statusPublished - 18 May 2009
EventIEEE Congress on Evolutionary Computation - Trondheim, Norway
Duration: 18 May 200921 May 2009

Publication series

NameIEEE Congress on Evolutionary Computation
PublisherIEEE Conference Proceedings
Volume1-5

Conference

ConferenceIEEE Congress on Evolutionary Computation
CountryNorway
CityTrondheim
Period18/05/0921/05/09

Keywords

  • design optimisation
  • system engineering
  • space

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  • Cite this

    Croisard, N., & Vasile, M. (2009). System engineering design optimisation under uncertainty for preliminary space mission. In 2009 IEEE Congress on Evolutionary Computation: CEC'09 (Vol. 1-5, pp. 324-331). (IEEE Congress on Evolutionary Computation; Vol. 1-5). IEEE. https://doi.org/10.1109/CEC.2009.4982965