Paper
25 August 2005 Η2-optimal control of an adaptive optics system: part I, data-driven modeling of wavefront disturbance
Karel Hinnen, Michel Verhaegen, Niek Doelman
Author Affiliations +
Abstract
Even though the wavefront distortion introduced by atmospheric turbulence is a dynamic process, its temporal evolution is usually neglected in the adaptive optics (AO) control design. Most AO control systems consider only the spatial correlation in a separate wavefront reconstruction step. By accounting for the temporal evolution of the wavefront it should be possible to further reduce the residual phase error and enable the use of fainter guide stars. Designing a controller that takes full advantage of the spatio-temporal correlation in the wavefront requires a detailed model of the wavefront distortion. In this paper we present a dedicated subspace identification algorithm that is able to provide the required prior knowledge. On the basis of open-loop wavefront slope data it estimates a multi-variable state-space model of the wavefront disturbance. The model provides a full description of the spatio-temporal statistics in a form that is suitable for control. The algorithm is demonstrated on open-loop wavefront data.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karel Hinnen, Michel Verhaegen, and Niek Doelman "Η2-optimal control of an adaptive optics system: part I, data-driven modeling of wavefront disturbance", Proc. SPIE 5903, Astronomical Adaptive Optics Systems and Applications II, 590309 (25 August 2005); https://doi.org/10.1117/12.614399
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Wavefronts

Data modeling

Adaptive optics

Matrices

Atmospheric modeling

Control systems

Wavefront distortions

Back to Top