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

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dc.contributor.advisor Braun, Robert D.
dc.contributor.author Wells, Grant en_US
dc.contributor.committeeMember Lisano, Michael
dc.contributor.committeeMember Russell, Ryan P.
dc.contributor.committeeMember Striepe, Scott
dc.contributor.committeeMember Volovoi, Vitali
dc.contributor.department Aerospace Engineering en_US
dc.date.accessioned 2011-07-06T16:49:00Z
dc.date.available 2011-07-06T16:49:00Z
dc.date.issued 2011-04-05 en_US
dc.description.abstract 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. en_US
dc.description.degree Ph.D. en_US
dc.identifier.uri http://hdl.handle.net/1853/39611
dc.publisher Georgia Institute of Technology en_US
dc.subject Implicit en_US
dc.subject Explicit en_US
dc.subject Integration en_US
dc.subject Kalman en_US
dc.subject Unscented en_US
dc.subject Extended en_US
dc.subject Huygens en_US
dc.subject Galileo en_US
dc.subject Phoenix en_US
dc.subject MER en_US
dc.subject Pathfinder en_US
dc.subject Viking en_US
dc.subject Mars 6 en_US
dc.subject Vega en_US
dc.subject Venus en_US
dc.subject Earth en_US
dc.subject Mars en_US
dc.subject Jupiter en_US
dc.subject Titan en_US
dc.subject Pioneer Venus en_US
dc.subject Venera en_US
dc.subject Control en_US
dc.subject Optimal en_US
dc.subject Reconstruction en_US
dc.subject Filter en_US
dc.subject Collocation en_US
dc.subject Trajectory en_US
dc.subject.lcsh Space trajectories
dc.title A comparison of multiple techniques for the reconstruction of entry, descent, and landing trajectories and atmospheres en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename College of Engineering
local.contributor.corporatename Daniel Guggenheim School of Aerospace Engineering
local.relation.ispartofseries Doctor of Philosophy with a Major in Aerospace Engineering
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
relation.isOrgUnitOfPublication a348b767-ea7e-4789-af1f-1f1d5925fb65
relation.isSeriesOfPublication f6a932db-1cde-43b5-bcab-bf573da55ed6
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