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Proceedings Paper

Numerical atmospheric turbulence models and LQG control for adaptive optics system
Author(s): Jean-Pierre Folcher; Marcel Carbillet
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Paper Abstract

In this paper we analyze the performance of an LQG based controller for an adaptive optics (AO) system. The optimal control uses the state-feedback of the disturbance predictions. Such predictions (Kalman filter estimates) are based on a disturbance model of the atmospheric distortion wavefront. In many AO applications wind velocities and the strength of the distortion of the wavefront can change rapidly, rendering the disturbance prediction far from optimal and degrading the disturbance rejection property of the AO loop. Special attention is given to the choice of the disturbance model to ensure satisfactory disturbance rejection performance despite turbulence variation. The proposed approach also serves the trade-off between the accuracy of the prediction and the model complexity to limit the computational cost of the LQG control. The achieved performances are evaluated through numerical experiments using the Software Package CAOS.

Paper Details

Date Published: 1 October 2011
PDF: 8 pages
Proc. SPIE 8172, Optical Complex Systems: OCS11, 81721C (1 October 2011); doi: 10.1117/12.900001
Show Author Affiliations
Jean-Pierre Folcher, Lab. H. Fizeau, CNRS, Univ. de Nice Sophia Antipolis (France)
Marcel Carbillet, Lab. H. Fizeau, CNRS, Univ. de Nice Sophia Antipolis (France)


Published in SPIE Proceedings Vol. 8172:
Optical Complex Systems: OCS11
Gérard Berginc, Editor(s)

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