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Magnetometer-Based Attitude Determination Using Common-Frame Filtering with Unobservable Parameter Consideration

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work, a common-frame state estimation routine is adapted to accommodate unobservable parametric quantities. Using the traditional approach taken in consider or Schmidt Kalman Filtering, pseudo-states are augmented in filter design to accommodate quantities that are undesirable to be updated via measurements. The filter is derived to provide frame consistency for both traditional and pseudo-states. When applied to magnetometer attitude estimation of spacecraft, simulation results using the consider common-frame filter yield more consistent state estimates with the added benefit of faster state convergence as compared to the standard consider filter. The resulting consider common-frame filter has wide utility to nonlinear systems with lightly observable or unobservable parameters while maintaining a common-frame formulation.

Original languageEnglish
Title of host publicationAIAA SciTech Forum and Exposition, 2023
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624106996
DOIs
StatePublished - 2023
EventAIAA SciTech Forum and Exposition, 2023 - Orlando, United States
Duration: Jan 23 2023Jan 27 2023

Publication series

NameAIAA SciTech Forum and Exposition, 2023

Conference

ConferenceAIAA SciTech Forum and Exposition, 2023
Country/TerritoryUnited States
CityOrlando
Period01/23/2301/27/23

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