Analysis of Non-Uniform Gain for Control of a Deformable Mirror in an Adaptive-Optics System

Abstract

The objective of this research was to develop and experimentally verify the use of spatially varying gain maps on the servo-loop controller of a deformable mirror for improvements in the performance of an adaptive optics system and the mitigation of instabilities that can occur over edge actuators of a deformable mirror. The edge subapertures of a Shack-Hartmann wavefront sensor have lower signal-to-noise ratios and are more susceptible to measurement errors than fully illuminated center subapertures. Spatially varying gain maps were then developed to compensate for edge effects by having lower filter gains beta on the edge actuators. This lowered the bandwidth over the edge actuators which are the most susceptible to the edge effects. A gain map of lower filter gains beta over just the outer actuators was experimentally shown to increase the overall Strehl ratio of the AO system in all of the tested turbulence conditions. Experiments were also conducted in regimes where instabilities formed over the edge actuators of the DM. Gaussian gain maps significantly reduce the overall residual phase variance over the edge actuators reducing the formation of the instabilities.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2008
Accession Number
ADA482827

Entities

People

  • Kevin P. Vitayaudom

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Adaptive Optics
  • Air Force
  • Algorithms
  • Atmospheric Motion
  • Closed Loop Systems
  • Computational Complexity
  • Computational Science
  • Computers
  • Control Systems
  • Data Analysis
  • Detectors
  • Diffraction
  • Laser Diodes
  • Measurement
  • Open Loop Systems
  • Optics
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Optical Physics and Photonics.
  • Phased Array Antenna Design.
  • Robotics and Automation.