Upgrading SPHERE with the second stage AO system SAXO+: frequency-based data-driven controller for adaptive optics
Year: 2024
Type: conference-paper
Abstract: This study introduces a novel frequency-based data-driven controller for adaptive optics, using power spectral density for optimization while ensuring stability criteria. It addresses disturbance rejection, command amplitude constraints and system transfer functions through convex optimization to obtain an optimal control in an infinite input response filter form. Evaluated within the SAXO+ project, it demonstrates efficacy under diverse atmospheric conditions and operational scenarios. The proposed controller is tested in both standard and disentangled adaptive optics schemes, showcasing its adaptability and performance. Experimental validation is conducted using the COMPASS simulation tool, affirming the controller’s promise for enhancing adaptive optics systems in real-world applications.
DOI: 10.1117/12.3020179
Authors: Isaac Bernardino Dinis, François Wildi, Damien Ségransan, Vaibhav Gupta, Alireza Karimi, Michel Tallon, Isabelle Bosc, Maud Langlois, Magali Loupias, Clémentine Béchet, Éric Thiébaut, Charles Goulas, Florian Ferreira, Anthony Boccaletti, Fabrice Vidal, Caroline Kulcsár, Henri-François Raynaud, Nicolas Galland, Markus Kasper, Julien Milli, David Mouillet, Laura Schreiber, Emiliano Diolaiti, Raffaele Gratton, Gaël Chauvin
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4401935154