An integrated identification and predictive control strategy for high wind velocity adaptive optics applications

Jesse Cranney; Jose De Dona; Visa Korkiakoski; Francois Rigaut

doi:10.1117/12.2313090

18 July 2018 An integrated identification and predictive control strategy for high wind velocity adaptive optics applications

Jesse Cranney, Jose De Dona, Visa Korkiakoski, Francois Rigaut

Author Affiliations +

Proceedings Volume 10703, Adaptive Optics Systems VI; 107034U (2018) https://doi.org/10.1117/12.2313090
Event: SPIE Astronomical Telescopes + Instrumentation, 2018, Austin, Texas, United States

Abstract

Adaptive Optics (AO) systems rely on atmospheric turbulence models in order to reduce the effect of wave-front aberrations on image quality. Due to the nature of turbulence, these models can exploit shift-invariant structures without a severe loss in generality. The resulting subset of possible state-matrices is efficiently characterised for identification using Quadratic Programming (QP). Additionally, the initial assumption of shift-invariance is relaxed in order to accommodate for the boundary effect of finite-pupils.

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Jesse Cranney, Jose De Dona, Visa Korkiakoski, and Francois Rigaut "An integrated identification and predictive control strategy for high wind velocity adaptive optics applications", Proc. SPIE 10703, Adaptive Optics Systems VI, 107034U (18 July 2018); https://doi.org/10.1117/12.2313090

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