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

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 conference › Paper › peer-review

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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 language	English
Number of pages	8
Publication status	Published - 30 Sep 2019
Event	International Conference on Flight vehicles, Aerothermodynamics and Re-entry Missions and Engineering - Torre Cintola Nature Sea Resort, Monopoli, Italy Duration: 30 Sep 2019 → 3 Oct 2019 https://atpi.eventsair.com/QuickEventWebsitePortal/far2019/website

Conference

Conference	International Conference on Flight vehicles, Aerothermodynamics and Re-entry Missions and Engineering
Abbreviated title	FAR
Country/Territory	Italy
City	Monopoli
Period	30/09/19 → 3/10/19
Internet address	https://atpi.eventsair.com/QuickEventWebsitePortal/far2019/website

Keywords

spaceplane
optimisation under uncertainty
decent guidance

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Ricciardi-etal-FAR-2019-Robust-multi-objective-optimisation-of-a-descent-guidanceAccepted author manuscript, 564 KB

Cite this

Ricciardi, L. A., Maddock, C. A., 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.

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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 ",

keywords = "spaceplane, optimisation under uncertainty, decent guidance",

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

year = "2019",

month = sep,

day = "30",

language = "English",

note = "International Conference on Flight vehicles, Aerothermodynamics and Re-entry Missions and Engineering, FAR ; Conference date: 30-09-2019 Through 03-10-2019",

url = "https://atpi.eventsair.com/QuickEventWebsitePortal/far2019/website",

}

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 et al.

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

Research output: Contribution to conference › Paper › peer-review

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

T2 - International Conference on Flight vehicles, Aerothermodynamics and Re-entry Missions and Engineering

Y2 - 30 September 2019 through 3 October 2019

ER -

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

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

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ARCHIE-WeSt (UOSHPC)

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