Constrained trajectory optimization for lunar landing

Alisa M. Hawkins, Thomas J. Fill, Ronald J. Proulx, Eric M.J. Feron

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations


As a first step towards exploration of Mars and beyond, humanity will again be landing on the surface of the Moon. The increase in computational capability since Apollo allows more capable on-board G&C algorithms to be implemented, both for manned and unmanned missions, This paper explores the trade-space of fuel-optimal trajectories from a Lunar parking orbit to soft landing, constraining both translational and attitude states in selected phases of the decent trajectory. A Legendre pseudospectral method is used to discretize and optimize the entire trajectory. Operational constraints include continuous (i.e., finite non-zero) thrust during braking, de-orbit perigee height specifications, and final vertical descent.
Original languageEnglish (US)
Title of host publicationAdvances in the Astronautical Sciences
Number of pages22
StatePublished - Dec 1 2006
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2021-02-18


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