Stochastic Atmosphere Modeling for Risk Adverse Aerocapture Guidance
ieee aerospace conference(2020)
摘要
In this paper we consider the problem of aerocapture guidance inside an atmosphere with the density randomly perturbed according to a Gaussian process model. We formulate the problem of solving for a single bank event as a stochastic optimization problem and then, in terms of a 3-DoF Martian aerocapture example, we study the properties of the proposed approach compared to a standard deterministic approach. The stochastic approach is shown to decrease the risk that a large delta- $V$ is required for maneuvering after atmospheric flight to reach a target apoapsis and periapsis.
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关键词
atmospheric flight,stochastic atmosphere modeling,risk adverse aerocapture guidance,Gaussian process model,single bank event,stochastic optimization problem,3-DoF Martian aerocapture example,standard deterministic approach
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