First laboratory validation of LQG control with the CANARY MOAO pathfinder - Institut d'Optique Graduate School Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

First laboratory validation of LQG control with the CANARY MOAO pathfinder

Résumé

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.
Fichier non déposé

Dates et versions

hal-01395579 , version 1 (10-11-2016)

Identifiants

Citer

Gaetano Sivo, Henri-François Raynaud, Jean-Marc Conan, Caroline Kulcsár, Eric Gendron, et al.. First laboratory validation of LQG control with the CANARY MOAO pathfinder. Astronomical Telescopes+ Instrumentation, Adaptive Optics Systems III, Brent L. Ellerbroek; Enrico Marchetti; Jean-Pierre Véran, 2012, Amsterdam, Netherlands. pp.84472Y, ⟨10.1117/12.926257⟩. ⟨hal-01395579⟩
70 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More