Challenges in simulating advanced control methods for AO

Pieter Piscaer; Oleg Soloviev; Michel Verhaegen

doi:10.1117/12.2577241

13 December 2020 Challenges in simulating advanced control methods for AO

Pieter Piscaer, Oleg Soloviev, Michel Verhaegen

Proceedings Volume 11448, Adaptive Optics Systems VII; 114480O (2020) https://doi.org/10.1117/12.2577241
Event: SPIE Astronomical Telescopes + Instrumentation, 2020, Online Only

Abstract

This paper discusses various practical problems arising in the design and simulation of predictive control methods for adaptive optics. Although there has been increased attention towards optimal prediction and control methods for AO systems, they are often tested in simplified simulation environments. The use of advanced AO simulators however, is a valuable alternative to the use of real data or laboratory experiments, as they provide both a flexible environment which is ideal for testing a new algorithm and are more accessible to non-experts. Topics that are often not explicitly discussed, such as the identification of a turbulence dynamics model from data, the use of matrix structures in AO systems to decrease the computational complexity and the implementation of Kalman filters to optimally deal with realistic noise conditions are examined. All topics discussed are illustrated by an accompanying Matlab code, which is based on the existing Matlab AO toolbox OOMAO.

Citation Download Citation

Pieter Piscaer, Oleg Soloviev, and Michel Verhaegen "Challenges in simulating advanced control methods for AO", Proc. SPIE 11448, Adaptive Optics Systems VII, 114480O (13 December 2020); https://doi.org/10.1117/12.2577241

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