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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.05123 |
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| _version_ | 1866929530323599360 |
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| author | Dinis, Isaac Wildi, François Ségransan, Damien Gupta, Vaibhav Karimi, Alireza Tallon, Michel Bosc, Isabelle Langlois, Maud Loupias, Magali Bechet, Clémentine Thiébaut, Eric Goulas, Charles Ferreira, Florian Boccaletti, Anthony Vidal, Fabrice Kulcsar, Caroline Raynaud, Henri-François Galland, Nicolas Kasper, Markus Milli, Julien Mouillet, David Schreiber, Laura Diolaiti, Emiliano Gratton, Raffaele Chauvin, Gael |
| author_facet | Dinis, Isaac Wildi, François Ségransan, Damien Gupta, Vaibhav Karimi, Alireza Tallon, Michel Bosc, Isabelle Langlois, Maud Loupias, Magali Bechet, Clémentine Thiébaut, Eric Goulas, Charles Ferreira, Florian Boccaletti, Anthony Vidal, Fabrice Kulcsar, Caroline Raynaud, Henri-François Galland, Nicolas Kasper, Markus Milli, Julien Mouillet, David Schreiber, Laura Diolaiti, Emiliano Gratton, Raffaele Chauvin, Gael |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_05123 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Upgrading SPHERE with the second stage AO system SAXO+: frequency-based data-driven controller for adaptive optics Dinis, Isaac Wildi, François Ségransan, Damien Gupta, Vaibhav Karimi, Alireza Tallon, Michel Bosc, Isabelle Langlois, Maud Loupias, Magali Bechet, Clémentine Thiébaut, Eric Goulas, Charles Ferreira, Florian Boccaletti, Anthony Vidal, Fabrice Kulcsar, Caroline Raynaud, Henri-François Galland, Nicolas Kasper, Markus Milli, Julien Mouillet, David Schreiber, Laura Diolaiti, Emiliano Gratton, Raffaele Chauvin, Gael Systems and Control Instrumentation and Methods for Astrophysics 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. |
| title | Upgrading SPHERE with the second stage AO system SAXO+: frequency-based data-driven controller for adaptive optics |
| topic | Systems and Control Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2410.05123 |