A Subspace Method for Shape Estimation of Flexible Spacecraft Membrane

Matthew Brownell, Andrew Sinclair, Puneet Singla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The main focus of this work is to find a linear time invariant model to capture the shape of the flexible membrane of a large space solar-power spacecraft from distributed sensor measurements. The spacecraft structure is motivated by a concept for capturing solar energy in space and accurately directing it to required locations on the Earth’s surface. Rather than finding a global model between input and output space, subspace methods for linear system identification are utilized to find a subspace over which the unknown dynamics evolve. A Lagrangian approach is used to simulate the coupled rigid and flexible body motion of the spacecraft. This coupled model is used to simulate local deformation and hence the local sensor measurements. The simulated data is used to find a linear time invariant model to estimate the shape of the membrane in real-time. The accuracy of the identified model is tested for different sensor grid size and sensor noise levels. The results corresponding to different numerical simulations show the effectiveness of subspace methods in accurately identifying the inherent dynamics of the system.

Original languageEnglish (US)
Title of host publicationAIAA SciTech Forum 2022
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624106316
DOIs
StatePublished - 2022
EventAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 - San Diego, United States
Duration: Jan 3 2022Jan 7 2022

Publication series

NameAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022

Conference

ConferenceAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022
Country/TerritoryUnited States
CitySan Diego
Period1/3/221/7/22

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

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