Modeling and prediction of turbulence-induced wavefront distortions
conference paper
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.
Topics
1-step ahead predictorAdaptive opticsAutoregressive modelKalman filterOptimal controlTurbulence modeling1-step ahead predictorAuto regressive modelsControl loopEssential elementsFirst orderFrozen flowHigh-orderOptimal controllerOptimal controlsPropagation directionSpatial temporal modelTemporal modelsTime varyingTurbulence modelingWavefront distortionControlKalman filtersOptimizationTurbulence modelsWavefrontsAdaptive optics
TNO Identifier
425169
ISSN
0277786X
ISBN
9780819482266
Article nr.
No.: 773617
Source title
Adaptive Optics Systems II, 27 June - 2 July 2010, San Diego, CA, USA
Collation
10 p.