Optimal Sensing/Actuation Strategies for Vibration and Acoustic Control of Optical Systems

Abstract

Optical jitter can result in the beam pointing inaccuracy and poor optical system performance. With a correlated measurement of the disturbance, improved control performance can be achieved. In this research, an adaptive optimal sensing strategy for optical systems is proposed. When an array of reference sensors is available, an optimal set of reference sensors that are coupled to modes of interests can be selected. The weighted reference signal from the optimal sensor set is then used in an adaptive control design algorithm. An adaptive generalized predictive control design algorithm combined with the proposed adaptive optimal sensing strategy achieves better performance than the control system using only one of the reference sensors. The overall algorithm is also advantageous in the presence of time-varying or uncertain disturbances. The proposed technique is applied to an experimental test bed in which multiple accelerometer sensors measure the structural vibration of optical elements. Reduction of the structural vibration of optical components is attained using a fast steering mirror which results in a reduction of the corresponding jitter.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA443357

Entities

People

  • Leslie P. Fowler
  • Robert L. Clark
  • Suk-min Moon

Organizations

  • Duke University

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Astronautics
  • Communication Systems
  • Computational Complexity
  • Computers
  • Control Systems
  • Detectors
  • Digital Signal Processing
  • Electronic Mail
  • Engineering
  • Frequency
  • Frequency Response
  • Genetic Algorithms
  • Materials
  • Materials Science
  • Test Beds
  • Vibration

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Optical Fiber Sensing and Electromagnetic Propagation.
  • Robotics and Automation.