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.

Date Published: 30 September 2011
PDF: 8 pages
Proc. SPIE 8172, Optical Complex Systems: OCS11, 81721C (30 September 2011); doi: 10.1117/12.900001

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