Poster + Paper
27 August 2024 Autonomous predictive control for the Gran Telescopio Canarias Adaptive Optics (GTCAO) system within the H2020 ORP project: progress and initial results
Author Affiliations +
Conference Poster
Abstract
An autonomous predictive regulator (Linear Quadratic Gaussian (LQG)) is being developed within the European H2020 ORP project, to be tested on the Gran Telescopio Canarias Adaptive Optics (GTCAO) system (about 400 actuators and 600 SH-WFS measurements). The system can run at 1kHz with 1.65ms loop delay in the predictive case, under DARC real-time computer. This LQG controller is based on a data-driven model identified using both machine learning and parametric identification techniques and automatically updated from telemetry data during operation. The complete procedure under OOMAO simulator is presented here (including calibration). The disturbance is generated thanks to StereoScidar measurements, with in addition turbulence bursts, windshake and vibrations. Specific mechanisms insure regulator stability. Performance in terms of Strehl ratio and stability is evaluated for both LQG and integrator regulators. These developments and results will serve the on-sky tests on GTC foreseen in 2024.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Nicolas Galland, Lucas Marquis, Henri-François Raynaud, James Osborn, José Marco de La Rosa, Icíar Montilla, Óscar Tubío Araújo, Marcos Reyes García-Talavera, and Caroline Kulcsár "Autonomous predictive control for the Gran Telescopio Canarias Adaptive Optics (GTCAO) system within the H2020 ORP project: progress and initial results", Proc. SPIE 13097, Adaptive Optics Systems IX, 1309782 (27 August 2024); https://doi.org/10.1117/12.3021108
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Vibration

Adaptive optics

Turbulence

Wavefront sensors

Covariance matrices

Computer simulations

Telescopes

Back to Top