Date of Award
3-2020
Document Type
Thesis
Degree Name
Master of Science in Astronautical Engineering
Department
Department of Aeronautics and Astronautics
First Advisor
Joshua A. Hess, PhD
Abstract
Within satellite rendezvous and proximity operations lies pursuit-evasion differential games between two spacecraft. The extent of possible outcomes can be mathematically bounded by differential games where each player employs optimal strategies. A linear regression model is developed from a large data set of optimal control solutions. The model is shown to map pursuer relative starting positions to final capture positions and estimate capture time. The model is 3.8 times faster than the indirect heuristic method for arbitrary pursuer starting positions on an initial relative orbit about the evader. The linear regression model is shown to be well suited for on-board implementation for autonomous mission planning.
AFIT Designator
AFIT-ENY-MS-20-M-269
DTIC Accession Number
AD1101535
Recommended Citation
Linville, Dax, "Linear Regression Models Applied to Imperfect Information Spacecraft Pursuit-evasion Differential Games" (2020). Theses and Dissertations. 3611.
https://scholar.afit.edu/etd/3611