Trajectory optimization of a reusable launch vehicle

Francesco Marchetti; Edmondo Minisci; Annalisa Riccardi

Trajectory optimization of a reusable launch vehicle

Francesco Marchetti, Edmondo Minisci, Annalisa Riccardi

Research output: Contribution to conference › Presentation/Speech

72 Downloads (Pure)

Abstract

A comparison between different direct trajectory optimization methods for a Single Stage to Orbit Reusable Launch Vehicle is carried out and presented. Collocation and multiple-shooting approaches are compared in terms of accuracy, scalability, computational costs, and sensitivity to irregularities of models. The ascent trajectory optimization of the FESTIP-FSS5 Reusable Launch Vehicle is considered.

Original language	English
Publication status	Published - 29 Jun 2019
Event	17th Workshop on Advances in Continuous Optimization - University of Strathclyde, Glasgow, United Kingdom Duration: 28 Jun 2019 → 29 Jun 2019 http://icelab.uk/europt-2019/

Workshop

Workshop	17th Workshop on Advances in Continuous Optimization
Abbreviated title	EUROPT 2019
Country/Territory	United Kingdom
City	Glasgow
Period	28/06/19 → 29/06/19
Internet address	http://icelab.uk/europt-2019/

Keywords

optimal control
reusable launch vehicle
access to space
trajectory optimization
astronautics

Access to Document

Marchetti-etal-Europt-2019-Trajectory-optimization-of-a-reusable-launch-vehicleFinal published version, 1.92 MB

Cite this

@conference{1387b31bfaf5428b9e715ff7f44da635,

title = "Trajectory optimization of a reusable launch vehicle",

abstract = "A comparison between different direct trajectory optimization methods for a Single Stage to Orbit Reusable Launch Vehicle is carried out and presented. Collocation and multiple-shooting approaches are compared in terms of accuracy, scalability, computational costs, and sensitivity to irregularities of models. The ascent trajectory optimization of the FESTIP-FSS5 Reusable Launch Vehicle is considered.",

keywords = "optimal control, reusable launch vehicle, access to space, trajectory optimization, astronautics",

author = "Francesco Marchetti and Edmondo Minisci and Annalisa Riccardi",

year = "2019",

month = jun,

day = "29",

language = "English",

note = "17th Workshop on Advances in Continuous Optimization, EUROPT 2019 ; Conference date: 28-06-2019 Through 29-06-2019",

url = "http://icelab.uk/europt-2019/",

}

TY - CONF

T1 - Trajectory optimization of a reusable launch vehicle

AU - Marchetti, Francesco

AU - Minisci, Edmondo

AU - Riccardi, Annalisa

PY - 2019/6/29

Y1 - 2019/6/29

N2 - A comparison between different direct trajectory optimization methods for a Single Stage to Orbit Reusable Launch Vehicle is carried out and presented. Collocation and multiple-shooting approaches are compared in terms of accuracy, scalability, computational costs, and sensitivity to irregularities of models. The ascent trajectory optimization of the FESTIP-FSS5 Reusable Launch Vehicle is considered.

AB - A comparison between different direct trajectory optimization methods for a Single Stage to Orbit Reusable Launch Vehicle is carried out and presented. Collocation and multiple-shooting approaches are compared in terms of accuracy, scalability, computational costs, and sensitivity to irregularities of models. The ascent trajectory optimization of the FESTIP-FSS5 Reusable Launch Vehicle is considered.

KW - optimal control

KW - reusable launch vehicle

KW - access to space

KW - trajectory optimization

KW - astronautics

UR - http://icelab.uk/europt-2019/

M3 - Presentation/Speech

T2 - 17th Workshop on Advances in Continuous Optimization

Y2 - 28 June 2019 through 29 June 2019

ER -

Trajectory optimization of a reusable launch vehicle

Abstract

Workshop

Keywords

Access to Document

Other files and links

Fingerprint

ARCHIE-WeSt (UOSHPC)

17th Workshop on Advances in Continuous Optimization

Cite this

Trajectory optimization of a reusable launch vehicle

Abstract

Workshop

Keywords

Access to Document

Other files and links

Fingerprint

Equipment

ARCHIE-WeSt (UOSHPC)

Activities

17th Workshop on Advances in Continuous Optimization

Cite this