TRAJECTORY OPTIMIZATION OF HYPERSONIC GLIDE VEHICLE THREATS UNDER UNCERTAINTY AND RISK
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Authors
Wickham, James
Subjects
trajectory optimization
hypersonic glide vehicle
HGV
threat assessment
hypersonic glide vehicle
HGV
threat assessment
Advisors
Karpenko, Mark
Date of Issue
2022-03
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Hypersonic glide vehicle (HGV) technology has been successfully demonstrated and poses a significant threat with a high degree of difficulty to defeat. A thorough understanding of threat capabilities as well as possible employment tactics are critical to successful defense. While various trajectory optimization techniques have been utilized to analyze the flight profiles and target reachability of HGVs, the impacts of system and environmental uncertainties are studied only after the fact. It is highly desirable to handle uncertainty by implementing probabilistic constraints as part of the trajectory optimization process. Limited computational resources and stringent time requirements present a major challenge to implementing uncertainty models within trajectory optimization problems. In this thesis, a technique utilizing an unscented transformation is applied to insert probability distributions as part of the trajectory optimization problem formulation. Parametric uncertainties are implemented within an HGV model and the effects are analyzed as part of a trajectory optimization problem. Keep-out zones are implemented to explore how decision making under risk impacts HGV reachability and intercept position during the terminal phase. It is demonstrated that a discrete set of sigma points can be used to accurately represent probability distributions within trajectory optimization problems. The results constitute a new framework for HGV threat analysis under risk and uncertainty.
Type
Thesis
Description
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NPS Report Number
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Format
81 p.
Citation
Distribution Statement
Distribution Statement A. Approved for public release: Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.