A self-contained guidance and targeting algorithm for spacecraft applications

The development of a self-contained, onboard, fully autonomous trajectory guidance tool for spacecraft is presented. To be considered completely autonomous requires the capability to both identify an appropriate startup solution, and then use that solution to target a set of user-defined path and en...

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Main Author: Scarritt, Sara Kathryn
Format: Others
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/2152/ETD-UT-2012-08-5955
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spelling ndltd-UTEXAS-oai-repositories.lib.utexas.edu-2152-ETD-UT-2012-08-59552015-09-20T17:10:22ZA self-contained guidance and targeting algorithm for spacecraft applicationsScarritt, Sara KathrynAutomated targetingGuidanceTrajectory designThe development of a self-contained, onboard, fully autonomous trajectory guidance tool for spacecraft is presented. To be considered completely autonomous requires the capability to both identify an appropriate startup solution, and then use that solution to target a set of user-defined path and endpoint constraints. To minimize the cost of flight software development and validation, both the generation of the startup solution and the targeting algorithm are designed to be as computationally efficient as possible. This study addresses both the determination of a startup arc and the subsequent targeting process. The first part of the investigation considers the targeting algorithm. Linear targeting through differential corrections is a well-known approach for identifying feasible solutions that meet specified mission and trajectory constraints. However, to date, these methods relied on the assumption that the associated control inputs were impulsive in nature. This research focuses on the theoretical development and numerical validation of a generalized linear targeting algorithm capable of accommodating finite periods of continuous control action for a wide range of applications. Examples are presented to illustrate the general concept and to contrast the performance of this new targeting process against more classical impulsive targeting methods. The second section of the study introduces a novel approach utilizing artificial potential function methods to identify suitable startup solutions. Although common in other types of path planning, these methods have not yet been used for orbital or interplanetary trajectory design, primarily due to their inherent suboptimality. However, results show that this issue can be addressed with relative ease by the targeting algorithm.text2012-10-02T18:29:17Z2012-10-02T18:29:17Z2012-082012-10-02August 20122012-10-02T18:29:27Zthesisapplication/pdfhttp://hdl.handle.net/2152/ETD-UT-2012-08-59552152/ETD-UT-2012-08-5955eng
collection NDLTD
language English
format Others
sources NDLTD
topic Automated targeting
Guidance
Trajectory design
spellingShingle Automated targeting
Guidance
Trajectory design
Scarritt, Sara Kathryn
A self-contained guidance and targeting algorithm for spacecraft applications
description The development of a self-contained, onboard, fully autonomous trajectory guidance tool for spacecraft is presented. To be considered completely autonomous requires the capability to both identify an appropriate startup solution, and then use that solution to target a set of user-defined path and endpoint constraints. To minimize the cost of flight software development and validation, both the generation of the startup solution and the targeting algorithm are designed to be as computationally efficient as possible. This study addresses both the determination of a startup arc and the subsequent targeting process. The first part of the investigation considers the targeting algorithm. Linear targeting through differential corrections is a well-known approach for identifying feasible solutions that meet specified mission and trajectory constraints. However, to date, these methods relied on the assumption that the associated control inputs were impulsive in nature. This research focuses on the theoretical development and numerical validation of a generalized linear targeting algorithm capable of accommodating finite periods of continuous control action for a wide range of applications. Examples are presented to illustrate the general concept and to contrast the performance of this new targeting process against more classical impulsive targeting methods. The second section of the study introduces a novel approach utilizing artificial potential function methods to identify suitable startup solutions. Although common in other types of path planning, these methods have not yet been used for orbital or interplanetary trajectory design, primarily due to their inherent suboptimality. However, results show that this issue can be addressed with relative ease by the targeting algorithm. === text
author Scarritt, Sara Kathryn
author_facet Scarritt, Sara Kathryn
author_sort Scarritt, Sara Kathryn
title A self-contained guidance and targeting algorithm for spacecraft applications
title_short A self-contained guidance and targeting algorithm for spacecraft applications
title_full A self-contained guidance and targeting algorithm for spacecraft applications
title_fullStr A self-contained guidance and targeting algorithm for spacecraft applications
title_full_unstemmed A self-contained guidance and targeting algorithm for spacecraft applications
title_sort self-contained guidance and targeting algorithm for spacecraft applications
publishDate 2012
url http://hdl.handle.net/2152/ETD-UT-2012-08-5955
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