Modeling and prediction of turbulence-induced wavefront distortions

Modeling and prediction of turbulence-induced wavefront distortions

TNO Industrie en Techniek
Fraanje, P.R.
Doelman, N.J.

2010

In recent years various researchers have proposed an optimal control approach for the rejection of turbulence-induced wavefront distortions in an AO system. The essential element in the design of an optimal controller is the choice for the turbulence model, which predicts the turbulence to compensate for the inherent delay in the AO control loop. In this paper various models as proposed in literature are considered; ranging from first order temporal models to high-order full spatialtemporal models. The various models are analyzed and the resulting 1-step ahead predictors are derived. The performance of the predictors are compared for a von Kármán type of turbulence with frozen flow propagation in and time-varying propagation directions. © 2010 SPIE.

1-step ahead predictor
Adaptive optics
Autoregressive model
Kalman filter
Optimal control
Turbulence modeling
1-step ahead predictor
Auto regressive models
Control loop
Essential elements
First order
Frozen flow
High-order
Optimal controller
Optimal controls
Propagation direction
Spatial temporal model
Temporal models
Time varying
Turbulence modeling
Wavefront distortion
Control
Kalman filters
Optimization
Turbulence models
Wavefronts
Adaptive optics
Industrial Innovation
Mechatronics, Mechanics & Materials
OM - Opto-Mechatronics
TS - Technical Sciences

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Adaptive Optics Systems II, 27 June - 2 July 2010, San Diego, CA, USA, 7736 Pt.1 (7736 Pt.1)

Proceedings of SPIE - The International Society for Optical Engineering

conference paper