Closed-Loop Adaptive Optics performance with the Fractal Iterative Method

Details Closed-Loop Adaptive Optics performance with the Fractal Iterative Method Closed-Loop Adaptive Optics performance with the Fractal Iterative Method

Jul 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007sf2a.conf...21b&link_type=abstract

SF2A-2007: Proceedings of the Annual meeting of the French Society of Astronomy and Astrophysics held in Grenoble, France, July

Astronomy and Astrophysics

Astrophysics

Scientific paper

We demonstrate the interest of using the Fractal Iterative Method as a fast algorithm for the Internal Model Control of closed-loop adaptive optics systems. Such a method reduces the noise propagation in comparison with the classical Least-Squares reconstructors, and only a few iterations are required to maintain a well-balanced error budget of the system. Furthermore, the internal model control might yield interesting robustness and stability properties, still under characterization.

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