Affiliation of Author(s):航天学院

Journal:Guidance, Navigation Control Conf.

Abstract:A hybrid computational approach is developed for quantifying the propagation of the uncertainty in state trajectories of a low-lift Mars entry vehicle due to the uncertainty in initial conditions and other system parameters. The framework is built on the generalized polynomial chaos expansions and spectral decomposition. First, stochastic dynamical systems are transformed into equivalent deterministic dynamical systems in higher dimensional space. Then, the evolution of uncertainty due to initial conditions, ballistic coefficient, lift-to-drag ratio, and atmospheric density is quantified based on statistical property. Finally, we demonstrate that the hybrid computational approach is able to quantify propagation of uncertainty, in mars entry dynamics profile, with the same order of accuracy as the Monte-Carlo methods but with more computational efficiency. © 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All right reserved.

Translation or Not:no

Date of Publication:2018-01-01

Co-author:Jiang, Xiuqiang

Correspondence Author:李爽