An automatic tree search algorithm for the Tisserand graph

David de la Torre Sangrà, Elena Fantino, Roberto Maurice Flores Le Roux, Oscar Calvente Lozano, Celestino García Estelrich

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The Tisserand graph (TG) is a graphical tool commonly employed in the preliminary design of gravity-assisted trajectories. The TG is a two-dimensional map showing essential orbital information regarding the Keplerian orbits resulting from the close passage by one or more massive bodies, given the magnitude of the hyperbolic excess speed (v) and the minimum allowed pericenter height for each passage. Contours of constant v populate the TG. Intersections between contours allow to link consecutive flybys and build sequences of encounters en route to a selected destination. When the number of perturbing bodies is large and many v levels are considered, the identification of all the possible sequences of encounters through visual inspection of the TG becomes a laborious task. Besides, if the sequences are used as input for a numerical code for trajectory design and optimization, an automated examination of the TG is desirable. This contribution describes an automatic technique to explore the TG and find all the encounter paths. The technique is based on a tree search method, and the intersections between contours are computed using the regula-falsi scheme. The method is validated through comparisons with solutions available in the open literature. Examples are given of application to interplanetary mission scenarios, including the coupling with a trajectory optimizer.

Original languageBritish English
Pages (from-to)1027-1041
Number of pages15
JournalAlexandria Engineering Journal
Volume60
Issue number1
DOIs
StatePublished - Feb 2021

Keywords

  • Gravity assist
  • Interplanetary trajectory design
  • Spaceflight mechanics
  • Tisserand graph

Fingerprint

Dive into the research topics of 'An automatic tree search algorithm for the Tisserand graph'. Together they form a unique fingerprint.

Cite this