Paper
13 September 2012 First laboratory validation of LQG control with the CANARY MOAO pathfinder
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gaetano Sivo, Henri-François Raynaud, Jean-Marc Conan, Caroline Kulcsár, Eric Gendron, Fabrice Vidal, and Alastair Basden "First laboratory validation of LQG control with the CANARY MOAO pathfinder", Proc. SPIE 8447, Adaptive Optics Systems III, 84472Y (13 September 2012); https://doi.org/10.1117/12.926257
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Turbulence

Adaptive optics

Data modeling

Performance modeling

Device simulation

Stars

Statistical modeling

Back to Top