A comparison of multiple techniques for the reconstruction of entry, descent, and landing trajectories and atmospheres

The primary importance of trajectory reconstruction is to assess the accuracy of pre-flight predictions of the entry trajectory. While numerous entry systems have flown, often these systems are not adequately instrumented or the flight team not adequately funded to perform the statistical engineerin...

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Bibliographic Details
Main Author: Wells, Grant
Published: Georgia Institute of Technology 2011
Subjects:
MER
Online Access:http://hdl.handle.net/1853/39611
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spelling ndltd-GATECH-oai-smartech.gatech.edu-1853-396112013-01-07T20:37:38ZA comparison of multiple techniques for the reconstruction of entry, descent, and landing trajectories and atmospheresWells, GrantImplicitExplicitIntegrationKalmanUnscentedExtendedHuygensGalileoPhoenixMERPathfinderVikingMars 6VegaVenusEarthMarsJupiterTitanPioneer VenusVeneraControlOptimalReconstructionFilterCollocationTrajectorySpace trajectoriesThe primary importance of trajectory reconstruction is to assess the accuracy of pre-flight predictions of the entry trajectory. While numerous entry systems have flown, often these systems are not adequately instrumented or the flight team not adequately funded to perform the statistical engineering reconstruction required to quantify performance and feed-forward lessons learned into future missions. As such, entry system performance and reliability levels remain unsubstantiated and improvement in aerothermodynamic and flight dynamics modeling remains data poor. The comparison is done in an effort to quantitatively and qualitatively compare Kalman filtering methods of reconstructing trajectories and atmospheric conditions from entry systems flight data. The first Kalman filter used is the extended Kalman filter. Extended Kalman filtering has been used extensively in trajectory reconstruction both for orbiting spacecraft and for planetary probes. The second Kalman filter is the unscented Kalman filter. Additionally, a technique for using collocation to reconstruct trajectories is formulated, and collocation's usefulness for trajectory simulation is demonstrated for entry, descent, and landing trajectories using a method developed here to deterministically find the state variables of the trajectory without nonlinear programming. Such an approach could allow one to utilize the same collocation trajectory design tools for the subsequent reconstruction.Georgia Institute of Technology2011-07-06T16:49:00Z2011-07-06T16:49:00Z2011-04-05Dissertationhttp://hdl.handle.net/1853/39611
collection NDLTD
sources NDLTD
topic Implicit
Explicit
Integration
Kalman
Unscented
Extended
Huygens
Galileo
Phoenix
MER
Pathfinder
Viking
Mars 6
Vega
Venus
Earth
Mars
Jupiter
Titan
Pioneer Venus
Venera
Control
Optimal
Reconstruction
Filter
Collocation
Trajectory
Space trajectories
spellingShingle Implicit
Explicit
Integration
Kalman
Unscented
Extended
Huygens
Galileo
Phoenix
MER
Pathfinder
Viking
Mars 6
Vega
Venus
Earth
Mars
Jupiter
Titan
Pioneer Venus
Venera
Control
Optimal
Reconstruction
Filter
Collocation
Trajectory
Space trajectories
Wells, Grant
A comparison of multiple techniques for the reconstruction of entry, descent, and landing trajectories and atmospheres
description The primary importance of trajectory reconstruction is to assess the accuracy of pre-flight predictions of the entry trajectory. While numerous entry systems have flown, often these systems are not adequately instrumented or the flight team not adequately funded to perform the statistical engineering reconstruction required to quantify performance and feed-forward lessons learned into future missions. As such, entry system performance and reliability levels remain unsubstantiated and improvement in aerothermodynamic and flight dynamics modeling remains data poor. The comparison is done in an effort to quantitatively and qualitatively compare Kalman filtering methods of reconstructing trajectories and atmospheric conditions from entry systems flight data. The first Kalman filter used is the extended Kalman filter. Extended Kalman filtering has been used extensively in trajectory reconstruction both for orbiting spacecraft and for planetary probes. The second Kalman filter is the unscented Kalman filter. Additionally, a technique for using collocation to reconstruct trajectories is formulated, and collocation's usefulness for trajectory simulation is demonstrated for entry, descent, and landing trajectories using a method developed here to deterministically find the state variables of the trajectory without nonlinear programming. Such an approach could allow one to utilize the same collocation trajectory design tools for the subsequent reconstruction.
author Wells, Grant
author_facet Wells, Grant
author_sort Wells, Grant
title A comparison of multiple techniques for the reconstruction of entry, descent, and landing trajectories and atmospheres
title_short A comparison of multiple techniques for the reconstruction of entry, descent, and landing trajectories and atmospheres
title_full A comparison of multiple techniques for the reconstruction of entry, descent, and landing trajectories and atmospheres
title_fullStr A comparison of multiple techniques for the reconstruction of entry, descent, and landing trajectories and atmospheres
title_full_unstemmed A comparison of multiple techniques for the reconstruction of entry, descent, and landing trajectories and atmospheres
title_sort comparison of multiple techniques for the reconstruction of entry, descent, and landing trajectories and atmospheres
publisher Georgia Institute of Technology
publishDate 2011
url http://hdl.handle.net/1853/39611
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