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Advances in Atmospheric Drag Force Modeling for Satellite Orbit Prediction and Density Estimation.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in Atmospheric Drag Force Modeling for Satellite Orbit Prediction and Density Estimation./
作者:	Ray, Vishal.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	276 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-07, Section: B.
Contained By:	Dissertations Abstracts International83-07B.
標題:	Aerospace engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28861219
ISBN:	9798762105934

Advances in Atmospheric Drag Force Modeling for Satellite Orbit Prediction and Density Estimation.
Ray, Vishal.

Advances in Atmospheric Drag Force Modeling for Satellite Orbit Prediction and Density Estimation. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 276 p.

Source: Dissertations Abstracts International, Volume: 83-07, Section: B.

Thesis (Ph.D.)--University of Colorado at Boulder, 2021.

This item must not be sold to any third party vendors.

Atmospheric drag is the largest nongravitational perturbing force acting on low altitude low Earth orbit (LEO) satellites and debris, and the modeling and estimation of drag effects is a limiting problem in the prediction of their orbits over time. The primary sources of uncertainties in drag modeling are introduced due to the atmospheric density and the drag-coefficient. On top of the stochastic variations in atmospheric density, which drive the magnitude of the drag force, there are systematic variations in the drag coefficient due to satellite specific factors and atmospheric conditions. These include satellite attitude shifts, variations in ambient atmospheric parameters such as temperature, molecular composition, and the satellite wall temperature. Thus, even with increasing accuracy of semi-empirical models for the atmospheric density, there remain model uncertainties and time variations in the effective coefficient of drag that affect the satellite's motion, which are not captured using the standard constant drag coefficient model. Though physics-based models of the drag-coefficient can be used to calculate the time-variations in the drag-coefficient, a gap in knowledge of input parameters across orbital regimes and space weather conditions limits their use in operational orbit determination.This work develops new estimation-based methods to capture the time variations in the drag-coefficient due to attitude changes and orbital motion using Fourier-series expansions. Before implementing these high-fidelity models of drag, a thorough analysis of aliasing effects in estimates of nongravitational force coefficients due to arbitrary truncation of geopotential models is carried out. This allows an informed choice of geopotential degree and order during orbit determination. Improvement in the orbit determination and prediction of simulated and real satellites is demonstrated with the proposed Fourier models. A framework to invert physical parameters from the Fourier coefficient estimates is developed to provide better constraints on physics-based models of the drag-coefficient.Atmospheric densities derived from satellite tracking data are used in calibration of atmospheric models that are in turn used for orbit determination as well as scientific studies of the Earth's atmosphere. But the derived densities are subject to biases in the assumed drag-coefficient. An important goal of this work is to break out of this circular problem and provide a way to estimate atmospheric densities unbiased by the drag-coefficient. Leveraging the physics of the problem and the Fourier coefficient models, a method to estimate accurate local atmospheric densities at a sub-orbital cadence is developed and reduction in density biases is shown using simulated and real tracking data. Lastly, the new drag-coefficient models are applied to analytical theories of orbital motion in an atmosphere.

ISBN: 9798762105934Subjects--Topical Terms:

686400
Aerospace engineering.
Subjects--Index Terms:

Atmospheric density

Advances in Atmospheric Drag Force Modeling for Satellite Orbit Prediction and Density Estimation.
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245 1 0 $a Advances in Atmospheric Drag Force Modeling for Satellite Orbit Prediction and Density Estimation.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 276 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-07, Section: B.
500 $a Advisor: Scheeres, Daniel J.
502 $a Thesis (Ph.D.)--University of Colorado at Boulder, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Atmospheric drag is the largest nongravitational perturbing force acting on low altitude low Earth orbit (LEO) satellites and debris, and the modeling and estimation of drag effects is a limiting problem in the prediction of their orbits over time. The primary sources of uncertainties in drag modeling are introduced due to the atmospheric density and the drag-coefficient. On top of the stochastic variations in atmospheric density, which drive the magnitude of the drag force, there are systematic variations in the drag coefficient due to satellite specific factors and atmospheric conditions. These include satellite attitude shifts, variations in ambient atmospheric parameters such as temperature, molecular composition, and the satellite wall temperature. Thus, even with increasing accuracy of semi-empirical models for the atmospheric density, there remain model uncertainties and time variations in the effective coefficient of drag that affect the satellite's motion, which are not captured using the standard constant drag coefficient model. Though physics-based models of the drag-coefficient can be used to calculate the time-variations in the drag-coefficient, a gap in knowledge of input parameters across orbital regimes and space weather conditions limits their use in operational orbit determination.This work develops new estimation-based methods to capture the time variations in the drag-coefficient due to attitude changes and orbital motion using Fourier-series expansions. Before implementing these high-fidelity models of drag, a thorough analysis of aliasing effects in estimates of nongravitational force coefficients due to arbitrary truncation of geopotential models is carried out. This allows an informed choice of geopotential degree and order during orbit determination. Improvement in the orbit determination and prediction of simulated and real satellites is demonstrated with the proposed Fourier models. A framework to invert physical parameters from the Fourier coefficient estimates is developed to provide better constraints on physics-based models of the drag-coefficient.Atmospheric densities derived from satellite tracking data are used in calibration of atmospheric models that are in turn used for orbit determination as well as scientific studies of the Earth's atmosphere. But the derived densities are subject to biases in the assumed drag-coefficient. An important goal of this work is to break out of this circular problem and provide a way to estimate atmospheric densities unbiased by the drag-coefficient. Leveraging the physics of the problem and the Fourier coefficient models, a method to estimate accurate local atmospheric densities at a sub-orbital cadence is developed and reduction in density biases is shown using simulated and real tracking data. Lastly, the new drag-coefficient models are applied to analytical theories of orbital motion in an atmosphere.
590 $a School code: 0051.
650 4 $a Aerospace engineering. $3 686400
653 $a Atmospheric density
653 $a Atmospheric drag
653 $a Drag-coefficient
653 $a Estimation
653 $a Fourier series
653 $a Orbit determination
690 $a 0538
710 2 $a University of Colorado at Boulder. $b Aerospace Engineering. $3 1179005
773 0 $t Dissertations Abstracts International $g 83-07B.
790 $a 0051
791 $a Ph.D.
792 $a 2021
793 $a English
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