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Disturbance Modelling for Minimum Variance Control in Adaptive Optics Systems Using Wavefront Sensor Sampled-Data.

María Coronel1,2,3, Rodrigo Carvajal1, Pedro Escárate4

  • 1Departamento Electrónica, Universidad Técnica Federico Santa María (UTFSM), Av. España 1680, Valparaíso 2390123, Chile.

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|April 30, 2021
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Summary
This summary is machine-generated.

This study introduces a new method using damped-oscillators and Whittle

Keywords:
Whittle’s likelihoodadaptive opticsdisturbancesidentificationminimum variance controllermodellingwavefront sensor

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Area of Science:

  • Astronomy and Optics
  • Control Systems Engineering

Background:

  • Adaptive optics systems are crucial for modern large telescopes to correct wavefront distortions.
  • Atmospheric turbulence and mechanical vibrations are primary sources of these distortions.
  • Accurate models are essential for effective wavefront distortion mitigation.

Purpose of the Study:

  • To develop a novel modeling technique for estimating disturbance model parameters.
  • To improve the performance of minimum variance controllers in adaptive optics.
  • To address the impact of inaccurate models on control system performance.

Main Methods:

  • Utilized continuous-time damped-oscillators for modeling.
  • Employed Whittle's likelihood method for parameter estimation.
  • Estimated model parameters from wavefront sensor time-domain sampled data.

Main Results:

  • Achieved more accurate estimates of disturbance model parameters.
  • Demonstrated improved minimum variance control performance.
  • Validated the proposed techniques through numerical simulations.

Conclusions:

  • The developed modeling and identification techniques enhance adaptive optics performance.
  • Accurate modeling is key to overcoming limitations in wavefront distortion correction.
  • This approach offers significant benefits for astronomical imaging quality.