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Proceedings Paper

Kalman-filter-based optimal control law for star-oriented and layer-oriented multiconjugate adaptive optics
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Paper Abstract

We first recall in this paper the optimal closed loop control law for multiconjugate adaptive optics [MCAO]. It is based on a Kalman filter and a feedback control. The prior model on which is based the Kalman filter is developped in a state-space representation and the differences in the model between Star Oriented [SO] MCAO and Layer Oriented [LO] MCAO are presented. This approach allows to take into account the wavefront sensing noise, the turbulence profil model, the Kolmogorov statistics and a temporal model of the turbulence. Simulation results are given in SO MCAO and the Kalman based approach is compared to the more standard Optimized Modal Gain Integrator [OMGI].

Paper Details

Date Published: 25 October 2004
PDF: 11 pages
Proc. SPIE 5490, Advancements in Adaptive Optics, (25 October 2004); doi: 10.1117/12.551422
Show Author Affiliations
Brice Le Roux, INAF, Osservatorio Astrofisico di Arcetri (Italy)
Roberto Ragazzoni, INAF, Osservatorio Astrofisico di Arcetri (Italy)
Carmelo Arcidiacono, INAF, Osservatorio Astrofisico di Arcetri (Italy)
Jean-Marc Conan, ONERA (France)
Caroline Kulcsar, Univ. Paris-Nord (France)
Henri-Francois Raynaud, Univ. Paris-Nord (France)

Published in SPIE Proceedings Vol. 5490:
Advancements in Adaptive Optics
Domenico Bonaccini Calia; Brent L. Ellerbroek; Roberto Ragazzoni, Editor(s)

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