Abstract To reduce computation time while limiting loss in accuracy when propagating an orbit state probability density function, this work seeks to develop an adaptive approach to multi-fidelity uncertainty propagation for applications in astrodynamics. Using the method of stochastic collocation, a set of particles produced via a low-fidelity solver defines a basis used in the surrogate over the space of propagated states. This basis allows for identifying a subset of important samples that are re-propagated using a high-fidelity propagator, which defines a correction for the original basis. This approach reduces computation time for propagating a particle ensemble or a Gaussian mixture model via the unscented transform. This paper demonstrates the efficacy of this method for several Earth-orbit test cases, and provides a means for merging general and special perturbation theories to produce a posterior probability density function more statistically consistent with a precise estimated state.
Paper Highlights Multi-fidelity approach reduces runtime for orbit-state uncertainty propagation. Combines low- and high-fidelity models for orbit state propagation. Apply a high-fidelity correction to low-fidelity samples via stochastic collocation. Demonstrate with particle and Gaussian mixture approaches to uncertainty propagation.
Multi-fidelity orbit uncertainty propagation
Acta Astronautica ; 155 ; 406-417
2018-10-13
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Multi-Fidelity Orbit Uncertainty Propagation with Systematic Errors
British Library Conference Proceedings | 2019
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