Multi-objective optimisation under uncertainty with unscented temporal finite elements
Ricciardi, Lorenzo A. and Maddock, Christie Alisa and Vasile, Massimiliano (2021) Multi-objective optimisation under uncertainty with unscented temporal finite elements. Mathematics, 9 (23). 3010. (https://doi.org/10.3390/math9233010)
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Abstract
This paper presents a novel method for multi-objective optimisation under uncertainty developed to study a range of mission trade-offs, and the impact of uncertainties on the evaluation of launch system mission designs. A memetic multi-objective optimisation algorithm, named MODHOC, which combines the Direct Finite Elements in Time transcription method with Multi Agent Collaborative Search, is extended to account for model uncertainties. An Unscented Transformation is used to capture the first two statistical moments of the quantities of interest. A quantification model of the uncertainty was developed for the atmospheric model parameters. An optimisation under uncertainty was run for the design of descent trajectories for a spaceplane-based two-stage launch system.
ORCID iDs
Ricciardi, Lorenzo A. ORCID: https://orcid.org/0000-0002-0895-7961, Maddock, Christie Alisa ORCID: https://orcid.org/0000-0003-1079-4863 and Vasile, Massimiliano ORCID: https://orcid.org/0000-0001-8302-6465;-
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Item type: Article ID code: 78686 Dates: DateEvent24 November 2021Published16 November 2021Accepted9 September 2021SubmittedSubjects: Technology > Motor vehicles. Aeronautics. Astronautics Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Strategic Research Themes > Ocean, Air and SpaceDepositing user: Pure Administrator Date deposited: 24 Nov 2021 16:20 Last modified: 28 Nov 2024 01:23 URI: https://strathprints.strath.ac.uk/id/eprint/78686