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

Lorenzo A. Ricciardi, Christie Alisa Maddock, Massimiliano Vasile, Tristan Stindt, Jim Merrifield, Marco Fossati, Michael West, Konstantinos Kontis, Bernard Farkin, Stuart McIntyre

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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
Original languageEnglish
Number of pages8
Publication statusPublished - 30 Sep 2019
EventInternational Conference on Flight vehicles, Aerothermodynamics and Re-entry Missions and Engineering - Torre Cintola Nature Sea Resort, Monopoli, Italy
Duration: 30 Sep 20193 Oct 2019
https://atpi.eventsair.com/QuickEventWebsitePortal/far2019/website

Conference

ConferenceInternational Conference on Flight vehicles, Aerothermodynamics and Re-entry Missions and Engineering
Abbreviated titleFAR
CountryItaly
CityMonopoli
Period30/09/193/10/19
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Keywords

  • spaceplane
  • optimisation under uncertainty
  • decent guidance

Cite this

Ricciardi, L. A., Maddock, C. A., Vasile, M., Stindt, T., Merrifield, J., Fossati, M., ... McIntyre, S. (2019). Robust multi-objective optimisation of a descent guidance strategy for a TSTO spaceplane. Paper presented at International Conference on Flight vehicles, Aerothermodynamics and Re-entry Missions and Engineering, Monopoli, Italy.