Zonal-based high-performance control in adaptive optics systems with application to astronomy and satellite tracking - Institut d'Optique Graduate School Access content directly
Journal Articles Journal of the Optical Society of America. A Optics, Image Science, and Vision Year : 2020

Zonal-based high-performance control in adaptive optics systems with application to astronomy and satellite tracking

Abstract

This paper presents a model-based approach to adaptive optics (AO) control based on a zonal (i.e., pixelized) representation of the incoming atmospheric turbulence. Describing the turbulence on a zonal basis enables the encapsulation of the standard frozen-flow assumption into a control-oriented model. A multilayer zonal model is proposed for single-conjugate AO (SCAO) systems. It includes an edge compensation mechanism involving limited support, which results in a sparser model structure. To further reduce the computational complexity, new resultant zonal models localized in the telescope pupil are proposed, with AR1 or AR2 structures, that match the spatial and temporal cross-correlations of the incoming turbulence. The global performance of the resulting linear quadratic Gaussian (LQG) regulator is evaluated using end-to-end simulations and compared to several existing controllers for two different configurations: a very large telescope SCAO and low earth orbit satellite tracking. The results show the high potential of the new approach and highlight possible trade-offs between the performance and complexity.
Fichier principal
Vignette du fichier
Prengère_JOSAA_public.pdf (2.3 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03169469 , version 1 (29-03-2024)

Identifiers

Cite

Léonard Prengère, Caroline Kulcsár, Henri-François Raynaud. Zonal-based high-performance control in adaptive optics systems with application to astronomy and satellite tracking. Journal of the Optical Society of America. A Optics, Image Science, and Vision, 2020, 37 (7), pp.1083. ⟨10.1364/JOSAA.391484⟩. ⟨hal-03169469⟩
48 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More