System Engineering Design Optimisation Under Uncertainty for Preliminary Space Mission

Croisard, N. and Vasile, M. (2009) System Engineering Design Optimisation Under Uncertainty for Preliminary Space Mission. In: 2009 IEEE Congress on Evolutionary Computation, Proceedings. Series: IEEE Congress on Evolutionary Computation, 1-5. IEEE: New York, pp. 324-331. ISBN 978-1-4244-2958-5

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.

• Item Type: Book Sections
• Additional Information: IEEE Congress on Evolutionary Computation Trondheim, NORWAY, MAY 18-21, 2009
• Status: Published
• Glasgow Author(s) Enlighten ID: Vasile, Dr Massimiliano
• Authors: Croisard, N., and Vasile, M.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Publisher: IEEE
• ISBN: 978-1-4244-2958-5