CONJUGATE-UNSCENTED-TRANSFORM-BASED APPROACH TO UNCERTAINTY ANALYSIS FOR TITAN ENTRY, DESCENT AND LANDING

Kendra Hale, Zach Hall, Puneet Singla

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

Abstract

The main objective of this paper is to outline a method that efficiently and accurately quantifies uncertainty in various quantities of interest during the entry, descent, and landing phase of a hypothetical Titan surface mission. A non-product, higher order numerical integration technique known as Conjugate Unscented Transformation (CUT) is utilized for this purpose. The CUT method is used to compute a polynomial surrogate model which can accurately replicate trade-off studies conducted through conventional Monte-Carlo analysis while drastically reducing computational burden associated with such traditional methods. Numerical simulations are presented and discussed which validate and demonstrate the utility of the presented approach.

Original languageEnglish (US)
Title of host publicationASTRODYNAMICS 2020
EditorsRoby S. Wilson, Jinjun Shan, Kathleen C. Howell, Felix R. Hoots
PublisherUnivelt Inc.
Pages2173-2192
Number of pages20
ISBN (Print)9780877036753
StatePublished - 2021
EventAAS/AIAA Astrodynamics Specialist Conference, 2020 - Virtual, Online
Duration: Aug 9 2020Aug 12 2020

Publication series

NameAdvances in the Astronautical Sciences
Volume175
ISSN (Print)0065-3438

Conference

ConferenceAAS/AIAA Astrodynamics Specialist Conference, 2020
CityVirtual, Online
Period8/9/208/12/20

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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