Robust trajectory optimisation of a TSTO spaceplane using uncertainty-based atmospheric models

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Abstract

This paper presents a multi-objective trajectory optimisation under uncertainty for the ascent of a two-stage, semi-reusable space launch system. Using Orbital Access’ Orbital 500- R launcher as a test case, robust multi-disciplinary design optimisation is used to analyse the trade-offs with both the vehicle and system design, and operation. An area of focus is on the predicted performance and its impact on the design and planned mission scenarios. The atmospheric model uncertainties are quantified for the atmospheric surrogate model and integrated into the optimal control solver MODHOC, extended by the addition of an unscented transformation to handle the uncertainties. A multi-objective optimisation under uncertainty is run, examining the Pareto-optimal sets for the ascent trajectory and vehicle design.
Original languageEnglish
Title of host publication23rd AIAA International Space Planes and Hypersonic Systems and Technologies Conference
Place of PublicationReston, VA.
DOIs
Publication statusPublished - 1 Apr 2020
EventAIAA International Space Planes and Hypersonic Systems and Technologies Conference -
Duration: 10 Mar 202012 Mar 2020
Conference number: 23
https://arc.aiaa.org/doi/book/10.2514/MHYP20

Conference

ConferenceAIAA International Space Planes and Hypersonic Systems and Technologies Conference
Period10/03/2012/03/20
Internet address

Keywords

  • uncertainty quantification
  • multi-objective-trajectory optimisation
  • Orbital Access Orbital 500-R launcher
  • space missions
  • astronautics

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    Ricciardi, L., Maddock, C., & Vasile, M. (2020). Robust trajectory optimisation of a TSTO spaceplane using uncertainty-based atmospheric models. In 23rd AIAA International Space Planes and Hypersonic Systems and Technologies Conference [AIAA 2020-2403]. https://doi.org/10.2514/6.2020-2403