Robust multi-objective optimisation of a descent guidance strategy for a TSTO spaceplane

Ricciardi, Lorenzo A. and Maddock, Christie Alisa and Vasile, Massimiliano and Stindt, Tristan and Merrifield, Jim and Fossati, Marco and West, Michael and Kontis, Konstantinos and Farkin, Bernard and McIntyre, Stuart (2019) Robust multi-objective optimisation of a descent guidance strategy for a TSTO spaceplane. In: International Conference on Flight vehicles, Aerothermodynamics and Re-entry Missions and Engineering, 2019-09-30 - 2019-10-03, Torre Cintola Nature Sea Resort.

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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, MODHOC, which combines the Direct Finite Elements 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 the Orbital-500R, a commercial semi-reusable, two-stage launch system under development by Orbital Access Ltd