Approximate estimates of orbit transfer cost for efficient mission analysis and design

Giulio Avanzini, Danilo Zona, Francesco Marchetti, Edmondo Minisci

Research output: Contribution to conferencePaper

13 Downloads (Pure)

Abstract

Symbolic Regression is investigated as a tool for identifying analytical expressions which provide an estimate of orbit transfer cost, evaluated in terms of required veloc- ity increment, as a function of initial and target orbit geometry. Different approaches are considered to identify the best approach to sample the problem parameter space and the algorithm which performs better, in the framework of Genetic Programming. Each resulting method is tested for five different orbit transfer geometries between coplanar circular and elliptical orbits. Results demonstrate the viability of the ap- proach, although when the number of problem parameter increases, computational cost becomes sizeable. Also, local minima may be filtered by the regression.
Original languageEnglish
Number of pages14
Publication statusPublished - 15 Aug 2023
Event2023 AAS/AIAA Astrodynamics Specialist Conference - Big Sky Resort, Big Sky, United States
Duration: 13 Aug 202317 Aug 2023
https://space-flight.org/docs/2023_summer/2023_summer.html

Conference

Conference2023 AAS/AIAA Astrodynamics Specialist Conference
Country/TerritoryUnited States
CityBig Sky
Period13/08/2317/08/23
Internet address

Keywords

  • symbolic regression
  • orbit transfer cost
  • required velocity increment
  • orbit geometry

Fingerprint

Dive into the research topics of 'Approximate estimates of orbit transfer cost for efficient mission analysis and design'. Together they form a unique fingerprint.

Cite this