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  5. DEVELOPMENT AND ANALYSIS OF ONBOARD TRANSLUNAR INJECTION TARGETING ALGORITHMS
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DEVELOPMENT AND ANALYSIS OF ONBOARD TRANSLUNAR INJECTION TARGETING ALGORITHMS

Date Issued
May 1, 2011
Author(s)
Reed, Phillippe Lyles Winters
Advisor(s)
Evans Lyne
Additional Advisor(s)
Kivanc Ekici
Vasilios Alexiades
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/45654
Abstract

Several targeting algorithms are developed and analyzed for possible future use onboard a spacecraft. Each targeter is designed to determine the appropriate propulsive burn for translunar injection to obtain desired orbital parameters upon arrival at the moon. Primary design objectives are to minimize the computational requirements for each algorithm but also to ensure reasonable accuracy, so that the algorithm’s errors do not force the craft to conduct large mid-course corrections. Several levels of accuracy for dynamical models are explored, the convergence range and speed of each algorithm are compared, and the possible benefits of the Broyden and trust-region targeters are evaluated. These targeters provide a proof of concept for the feasibility of a translunar injection targeting algorithm. Anticipating some future improvements, these algorithms could serve as a viable alternative to uploading ground-based targeting solutions and bypass the problems of delays and disruptions in communication, enabling the craft to conduct a translunar injection burn autonomously.

Subjects

astrodynamics

orbital mechanics

translunar injection ...

moon missions

predictor corrector

perilune

Disciplines
Astrodynamics
Dynamics and Dynamical Systems
Dynamic Systems
Navigation, Guidance, Control and Dynamics
Non-linear Dynamics
Numerical Analysis and Computation
Ordinary Differential Equations and Applied Dynamics
Space Vehicles
Degree
Master of Science
Major
Aerospace Engineering
Embargo Date
December 1, 2011
File(s)
Thumbnail Image
Name

ReedPhillippeThesis.pdf

Size

1.47 MB

Format

Adobe PDF

Checksum (MD5)

fe0c7c03041cde7cfa34fbc5ee0b79c8

Thumbnail Image
Name

Thesis_edit3.docx

Size

835.6 KB

Format

Microsoft Word XML

Checksum (MD5)

a7ee16b4773a471aac728209ab34953a


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