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Co-Optimization of Navigation System Requirements and Trajectory Design Using a Sweeping Gradient Method and Linear Covariance AnalysisWe describe the application of a sweeping gradient method for ordinary differential equations with events (SGM) and linear covariance analysis (LinCov) to the co-optimization of navigation system requirement generation and robust trajectory design. SGM is a method for computing the gradient of trajectory analyses defined by performance indices over initial value problems with events with respect to static parameters. LinCov is an analytic technique for predicting stochastic behavior of dynamical systems. By combining SGM and LinCov, it is possible use efficient, off-the-shelf, gradient-based optimizers to solve a combined robust optimal trajectory and navigation system design problem. In this paper, we formulate the required models to apply the combined SGM and LinCov techniques to a Near-Rectilinear Halo Orbit rendezvous approach scenario and show results for several intermediate problems.
Document ID
20240009434
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Benjamin W L Margolis
(Ames Research Center Mountain View, United States)
David Woffinden
(Johnson Space Center Houston, United States)
Date Acquired
July 23, 2024
Subject Category
Aeronautics (General)
Astrodynamics
Meeting Information
Meeting: 2024 AAS/AIAA Astrodynamics Specialist Conference
Location: Broomfield, CO
Country: US
Start Date: August 11, 2024
End Date: August 15, 2024
Sponsors: American Institute of Aeronautics and Astronautics, American Astronautical Society
Funding Number(s)
WBS: 909018.36.40.02.21.02
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
NASA Peer Committee
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