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

Lorenzo Ricciardi; Christie Maddock; Massimiliano Vasile

doi:10.2514/6.2020-2403

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

Lorenzo Ricciardi, Christie Maddock, Massimiliano Vasile

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

4 Citations (Scopus)

55 Downloads (Pure)

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 language	English
Title of host publication	23rd AIAA International Space Planes and Hypersonic Systems and Technologies Conference
Place of Publication	Reston, VA.
DOIs	https://doi.org/10.2514/6.2020-2403
Publication status	Published - 1 Apr 2020
Event	AIAA International Space Planes and Hypersonic Systems and Technologies Conference - Duration: 10 Mar 2020 → 12 Mar 2020 Conference number: 23 https://arc.aiaa.org/doi/book/10.2514/MHYP20

Conference

Conference	AIAA International Space Planes and Hypersonic Systems and Technologies Conference
Period	10/03/20 → 12/03/20
Internet address	https://arc.aiaa.org/doi/book/10.2514/MHYP20

Keywords

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

Access to Document

10.2514/6.2020-2403

Riccairdi-etal-AIAA-2020-Robust-trajectory-optimisation-of-a-TSTO-spaceplane-using-uncertainty-based-atmospheric-modelsAccepted author manuscript, 1.51 MB

UKSA GSTP De-Risking: Aerodynamics
Fossati, M. (Principal Investigator) & Maddock, C. (Co-investigator)
European Space Agency ESA
19/02/19 → 31/05/20
Project: Knowledge Exchange (Services/Consultancy)

Cite this

@inproceedings{20b0ec1d88ec4f61b93d2ee174926d97,

title = "Robust trajectory optimisation of a TSTO spaceplane using uncertainty-based atmospheric models",

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{\textquoteright} 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.",

keywords = "uncertainty quantification, multi-objective-trajectory optimisation, Orbital Access Orbital 500-R launcher, space missions, astronautics",

author = "Lorenzo Ricciardi and Christie Maddock and Massimiliano Vasile",

year = "2020",

month = apr,

day = "1",

doi = "10.2514/6.2020-2403",

language = "English",

isbn = "9781624106002",

booktitle = "23rd AIAA International Space Planes and Hypersonic Systems and Technologies Conference",

note = "AIAA International Space Planes and Hypersonic Systems and Technologies Conference ; Conference date: 10-03-2020 Through 12-03-2020",

url = "https://arc.aiaa.org/doi/book/10.2514/MHYP20",

}

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, Reston, VA., AIAA International Space Planes and Hypersonic Systems and Technologies Conference, 10/03/20. https://doi.org/10.2514/6.2020-2403

Robust trajectory optimisation of a TSTO spaceplane using uncertainty-based atmospheric models. / Ricciardi, Lorenzo; Maddock, Christie ; Vasile, Massimiliano.
23rd AIAA International Space Planes and Hypersonic Systems and Technologies Conference. Reston, VA., 2020. AIAA 2020-2403.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Robust trajectory optimisation of a TSTO spaceplane using uncertainty-based atmospheric models

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AU - Maddock, Christie

AU - Vasile, Massimiliano

N1 - Conference code: 23

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N2 - 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.

AB - 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.

KW - uncertainty quantification

KW - multi-objective-trajectory optimisation

KW - Orbital Access Orbital 500-R launcher

KW - space missions

KW - astronautics

U2 - 10.2514/6.2020-2403

DO - 10.2514/6.2020-2403

M3 - Conference contribution book

SN - 9781624106002

BT - 23rd AIAA International Space Planes and Hypersonic Systems and Technologies Conference

CY - Reston, VA.

T2 - AIAA International Space Planes and Hypersonic Systems and Technologies Conference

Y2 - 10 March 2020 through 12 March 2020

ER -

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

Abstract

Conference

Keywords

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Projects

UKSA GSTP De-Risking: Aerodynamics

Cite this