Covariance-matrix adaptive method for approximate time-optimal reorientation maneuvers

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

Abstract

The Covariance Matrix Adaptive-Evolutionary Strategy (CMA-ES) method provides a high quality estimate of the control solution for a satellite reorientation problem that includes multiple path constraints. The CMA-ES algorithm offers two significant advantages over heuristic methods such as Particle Swarm or Bacteria Foraging Optimization: it builds an approximation to the covariance matrix of the cost function, and uses that to determine a direction of maximum likelihood for the search, reducing the chance of stagnation; and it achieves second-order, quasi-Newton convergence behavior.

Original languageEnglish (US)
Title of host publicationAstrodynamics 2013 - Advances in the Astronautical Sciences: Proceedings of the AAS/AIAA Astrodynamics Specialist Conference
PublisherUnivelt Inc.
Pages2765-2776
Number of pages12
Volume150
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

Other

Other2013 AAS/AIAA Astrodynamics Specialist Conference, Astrodynamics 2013
CountryUnited States
CityHilton Head Island, SC
Period8/11/138/15/13

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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    Melton, R. G. (2014). Covariance-matrix adaptive method for approximate time-optimal reorientation maneuvers. In Astrodynamics 2013 - Advances in the Astronautical Sciences: Proceedings of the AAS/AIAA Astrodynamics Specialist Conference (Vol. 150, pp. 2765-2776). Univelt Inc..