Neural-based trajectory shaping approach for terminal planetary pinpoint guidance

Roberto Furfaro, Jules Simo, Brian Gaudet, Daniel R. Wibben

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

2 Scopus citations


In this paper, we present an approach to pinpoint landing based on what we consider to be the next evolution of path shaping methodologies based on potential functions. Here, we employ Extreme Learning Machine (ELM) theories to devise a Single Layer Forward Network (SLFN) that learns the relationship between current spacecraft position and the optimal velocity field required to shape the path to the surface in a fuel efficient fashion. ELM techniques enable fast and accurate training as well as better generalization. The network is trained using open-loop, fuel-efficient trajectories that are numerically generated using pseudo-spectral methods. After test and validation, the SLFN becomes a critical element in the linear guidance algorithm loop. More specifically, a Linear Quadratic Regulator (LQR) is employed to track the optimal velocity field which is naturally defined to be attractive to the landing target. The guidance approach is tested on a simulation environment to evaluate the performance of proposed algorithm. Monte Carlo simulations show that the algorithm achieve a low guidance residual error which is less than one meter in position and less than -0.9 m/sec in impact velocity.

Original languageEnglish (US)
Title of host publicationAstrodynamics 2013 - Advances in the Astronautical Sciences
Subtitle of host publicationProceedings of the AAS/AIAA Astrodynamics Specialist Conference
PublisherUnivelt Inc.
Number of pages18
ISBN (Print)9780877036050
StatePublished - 2014
Event2013 AAS/AIAA Astrodynamics Specialist Conference, Astrodynamics 2013 - Hilton Head Island, SC, United States
Duration: Aug 11 2013Aug 15 2013

Publication series

NameAdvances in the Astronautical Sciences
ISSN (Print)0065-3438


Other2013 AAS/AIAA Astrodynamics Specialist Conference, Astrodynamics 2013
Country/TerritoryUnited States
CityHilton Head Island, SC

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science


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