Construction of a dynamic adaptive optics system based on the subspace identification

Haiqi Lin; Ping Yang; Bing Xu; Kangjian Yang; Lianghua Wen

doi:10.1117/1.OE.58.1.013101

5 January 2019 Construction of a dynamic adaptive optics system based on the subspace identification

Haiqi Lin, Ping Yang, Bing Xu, Kangjian Yang, Lianghua Wen

Author Affiliations +

Optical Engineering, Vol. 58, Issue 1, 013101 (January 2019). https://doi.org/10.1117/1.OE.58.1.013101

Abstract

Adaptive optics (AO) systems have been used in many applications, such as ground-based astronomical telescopes for improving the resolution by counteracting the effects of atmospheric turbulence. However, the traditional AO system model is not good at dealing with noise interference in the closed-loop correction. Therefore, our paper proposes a subspace system identification method based on errors-in-variables to build an accurate dynamic model of the AO system from measurement data with closed-loop system identification. Experimental simulation results show that the root mean square of the residual wavefront is smaller than that of the traditional method, whether photon noise and camera readout noise exist or not. We conclude that the identified model has good accuracy and noise disturbance compensation ability to deal with dynamic wavefront correction compared with the traditional method.

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Haiqi Lin, Ping Yang, Bing Xu, Kangjian Yang, and Lianghua Wen "Construction of a dynamic adaptive optics system based on the subspace identification," Optical Engineering 58(1), 013101 (5 January 2019). https://doi.org/10.1117/1.OE.58.1.013101

Received: 28 August 2018; Accepted: 4 December 2018; Published: 5 January 2019

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KEYWORDS

Adaptive optics

Systems modeling

System identification

Wavefronts

Cameras

Data modeling

Actuators

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