Lightweight In-Plane Actuated Deformable Mirrors for Space Telescopes

Abstract

This research focused on lightweight, in-plane actuated, deformable mirrors, with the ultimate goal of developing a 20- meter light gathering aperture for space telescopes. The 0.127 meter diameter deformable mirror small scale testbed was modelled in ?nite elements using MSC.Nastran software and then used as a basis for a quasi-static controller. Experi- mental tracking of Zernike tip, tilt, and defocus modes was accomplished. The analytical solutions to plate-membrane and beam-string ordinary di?erential equations were developed. A simpli?ed approach to modelling the axisymmetric cases was also presented. A novel static control strategy, the Modal Transformation Method, was developed to form Zernike surfaces within an interior, or clear aperture, region using a number of statically-actuated Bessel-based vibration modes. The scaling problem for membrane optics is addressed. Signi?cantly, it is shown linear modelling may correctly explain the behavior of small-scale models, but only non-linear models will account for the important terms which govern the full-scale large aperture membrane telescopes.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
ADA455202

Entities

People

  • Michael J. Shepherd

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Ground and Sea Platforms
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Control Systems
  • Coordinate Systems
  • Dielectric Permittivity
  • Differential Equations
  • Electromagnetic Fields
  • Geometry
  • Materials Laboratories
  • Materials Testing
  • Measurement
  • Mechanics
  • Optics
  • Piezoelectric Materials
  • Piezoelectric Polymers
  • Resonant Frequency
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Robotics and Automation.

Technology Areas

  • Space
  • Space - Space Objects