@inproceedings{0c300b7fecc34697b0588cff0028dfdc,
title = "A Subspace Method for Shape Estimation of Flexible Spacecraft Membrane",
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{\textquoteright}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.",
author = "Matthew Brownell and Andrew Sinclair and Puneet Singla",
note = "Publisher Copyright: {\textcopyright} 2022, American Institute of Aeronautics and Astronautics Inc.. All rights reserved.; AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 ; Conference date: 03-01-2022 Through 07-01-2022",
year = "2022",
doi = "10.2514/6.2022-2378",
language = "English (US)",
isbn = "9781624106316",
series = "AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA SciTech Forum 2022",
}