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Proceedings Paper

Optimal control law for multiconjugate adaptive optics
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Paper Abstract

We propose in this paper an optimal closed loop control law for multiconjugate adaptive optics (MCAO), based on a Kalman filter and a feedback control. The so-called open loop optimal phase reconstruction is recalled. It is based on a Maximum A Posteriori (MAP) approach. This approach takes into account wavefront sensing noise and also makes use of a turbulence profile model and Kolmogorov statistics. We propose a closed-loop modelization via a state-space representation. A Kalman filter is used for the phase reconstruction. This approach is a closed loop generalization of the MAP open loop estimator. It uses the same spatial prior in addition with a temporal model of the turbulence. Results are compared with the Optimized Modal Gain Integrator approach in the classical adaptive optics case and in an MCAO-like case.

Paper Details

Date Published: 7 February 2003
PDF: 12 pages
Proc. SPIE 4839, Adaptive Optical System Technologies II, (7 February 2003); doi: 10.1117/12.459704
Show Author Affiliations
Brice Le Roux, ONERA (France)
Jean-Marc Conan, ONERA (France)
Caroline Kulcsar, Univ. Paris-Nord (France)
Henri-Francois Raynaud, Univ. Paris-Nord (France)
Laurent M. Mugnier, ONERA (France)
Thierry Fusco, ONERA (France)

Published in SPIE Proceedings Vol. 4839:
Adaptive Optical System Technologies II
Peter L. Wizinowich; Domenico Bonaccini, Editor(s)

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