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• W3097419245 abstract "Managing uncertainty is a fundamental and critical issue in spacecraft entry guidance. This paper presents a novel approach for uncertainty propagation during entry, descent and landing that relies on a new sum-of-squares robust verification technique. Unlike risk-based and probabilistic approaches, our technique does not rely on any probabilistic assumptions. It uses a set-based description to bound uncertainties and disturbances like vehicle and atmospheric parameters and winds. The approach leverages a recently developed sampling-based version of sum-of-squares programming to compute regions of finite time invariance, commonly referred to as funnels. We apply this approach to a three-degree-of-freedom entry vehicle model and test it using a Mars Science Laboratory reference trajectory. We compute tight approximations of robust invariant funnels that are guaranteed to reach a goal region with increased landing accuracy while respecting realistic thermal constraints." @default.
• W3097419245 created "2020-11-09" @default.
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• W3097419245 date "2020-11-04" @default.
• W3097419245 modified "2023-09-27" @default.
• W3097419245 title "Robust Entry Vehicle Guidance with Sampling-Based Invariant Funnels" @default.
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• W3097419245 hasPublicationYear "2020" @default.
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