Abstract
ABSTRACT Most adaptive optics systems (AO) are based on a simple control law that is unable to account for the temporalevolution of the wavefront. In this paper, a recently proposed data-driven H 2 -optimal control approach isdemonstrated on an AO laboratory setup. The proposed control approach does not assume any form of decouplingand can therefore exploit the spatio-temporal correlation in the wavefront. The performance of the optimalcontrol approach is compared with a conventional method. An analysis of the dominant error sources shows thatthe optimal control approach leads to a signicant reduction in the temporal error. Since the temporal errorgrows with the Greenwood to sampling frequency ratio, the performance gain is especially large at large ratios.Keywords: Adaptive optics, H 2 -optimal control, spatial-temporal correlation, data-driven disturbance modeling 1. INTRODUCTION Adaptive optics (AO) systems are often based on a control law that is not able to exploit the spatio-temporalcorrelation in the wavefront. The most commonly applied control law
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