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

Research output: Contribution to conferencePaper

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

Conference

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

Fingerprint

Multiobjective optimization
Transcription
Trajectories
Uncertainty

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.
Ricciardi, Lorenzo A. ; Maddock, Christie Alisa ; Vasile, Massimiliano ; Stindt, Tristan ; Merrifield, Jim ; Fossati, Marco ; West, Michael ; Kontis, Konstantinos ; Farkin, Bernard ; McIntyre, Stuart. / 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.8 p.
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title = "Robust multi-objective optimisation of a descent guidance strategy for a TSTO spaceplane",
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",
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note = "International Conference on Flight vehicles, Aerothermodynamics and Re-entry Missions and Engineering, FAR ; Conference date: 30-09-2019 Through 03-10-2019",
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Ricciardi, LA, Maddock, CA, Vasile, M, Stindt, T, Merrifield, J, Fossati, M, West, M, Kontis, K, Farkin, B & 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, 30/09/19 - 3/10/19, .

Robust multi-objective optimisation of a descent guidance strategy for a TSTO spaceplane. / Ricciardi, Lorenzo A.; Maddock, Christie Alisa; Vasile, Massimiliano; Stindt, Tristan; Merrifield, Jim; Fossati, Marco; West, Michael; Kontis, Konstantinos; Farkin, Bernard; McIntyre, Stuart.

2019. Paper presented at International Conference on Flight vehicles, Aerothermodynamics and Re-entry Missions and Engineering, Monopoli, Italy.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Robust multi-objective optimisation of a descent guidance strategy for a TSTO spaceplane

AU - Ricciardi, Lorenzo A.

AU - Maddock, Christie Alisa

AU - Vasile, Massimiliano

AU - Stindt, Tristan

AU - Merrifield, Jim

AU - Fossati, Marco

AU - West, Michael

AU - Kontis, Konstantinos

AU - Farkin, Bernard

AU - McIntyre, Stuart

PY - 2019/9/30

Y1 - 2019/9/30

N2 - 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

AB - 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

KW - spaceplane

KW - optimisation under uncertainty

KW - decent guidance

UR - https://atpi.eventsair.com/QuickEventWebsitePortal/far2019/website

M3 - Paper

ER -

Ricciardi LA, Maddock CA, Vasile M, Stindt T, Merrifield J, Fossati M et al. Robust multi-objective optimisation of a descent guidance strategy for a TSTO spaceplane. 2019. Paper presented at International Conference on Flight vehicles, Aerothermodynamics and Re-entry Missions and Engineering, Monopoli, Italy.