Time-optimal reorientation using neural network and particle swarm formulation

Ko Basu, Robert Graham Melton, Sarah Aguasvivas-Manzano

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


A neural network will be developed to supplement a particle swarm algorithm to find near-minimum-time reorientation maneuvers in the presence of path constraints. The method employs a quaternion formulation of the kinematics, using B-splines to represent the quaternions. Dynamic Inversion will be used in the supervised training of the neural network.

Original languageEnglish (US)
Title of host publicationASTRODYNAMICS 2017
PublisherUnivelt Inc.
Number of pages14
ISBN (Print)9780877036456
StatePublished - Jan 1 2018
EventAAS/AIAA Astrodynamics Specialist Conference, 2017 - Stevenson, United States
Duration: Aug 20 2017Aug 24 2017


OtherAAS/AIAA Astrodynamics Specialist Conference, 2017
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science


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