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Proceedings Paper

First laboratory validation of LQG control with the CANARY MOAO pathfinder
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Paper Abstract

Many concepts of Wide Field AO (WFAO) systems are under development, especially for Extremely Large Tele­ scopes (ELTs) instruments. Multi-Object Adaptive Optics (MOAO) is one of these WFAO concepts, well suited to high redshifts galaxies observations in very wide Field of View (FoV). The E-ELT instrument EAGLE will use this approach. CANARY, the on-sky pathfinder for MOAO, has obtained the first compensated images on Natural Guide Stars (NGSs) at the William Herschel Telescope in September 2010. We present in this paper numerical and experimental validations of a Linear Quadratic Gaussian (LQG) control. This is an appealing strategy that provides an optimal control in the sense of minimum residual phase variance. It also provides a unified formalism that allows accounting for multi WaveFront Sensors (WFSs) channels, both on Laser Guide Stars (LGSs) and NGSs, and for various disturbance sources (turbulence, vibrations). We show how the specific MOAO CANARY configuration can be embedded in a state-space framework. We present experimental laboratory validations that demonstrate the gain brought by tomographic LQG control for CANARY, together with comparative simulations. Model identification necessary for a robust on-sky operation is discussed.

Paper Details

Date Published: 13 September 2012
PDF: 10 pages
Proc. SPIE 8447, Adaptive Optics Systems III, 84472Y (13 September 2012); doi: 10.1117/12.926257
Show Author Affiliations
Gaetano Sivo, L2TI, Institut Galilée, Univ. Paris 13 (France)
ONERA (France)
Henri-François Raynaud, L2TI, Institut Galilée, Univ. Paris 13 (France)
Jean-Marc Conan, ONERA (France)
Caroline Kulcsár, L2TI, Institut Galilée, Univ. Paris 13 (France)
Eric Gendron, LESIA - Observatoire de Meudon (France)
Fabrice Vidal, LESIA - Observatoire de Meudon (France)
Alastair Basden, Durham Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 8447:
Adaptive Optics Systems III
Brent L. Ellerbroek; Enrico Marchetti; Jean-Pierre Véran, Editor(s)

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