Data-driven subspace predictive control of adaptive optics for high-contrast imaging
Creators
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1.
University of Arizona
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2.
Goddard Space Flight Center
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3.
Astrobiology Center
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4.
University of Hawaii at Hilo
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5.
California Institute of Technology
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6.
Ames Research Center
Abstract
The search for exoplanets is pushing adaptive optics (AO) systems on ground-based telescopes to their limits. One of the major limitations at small angular separations, exactly where exoplanets are predicted to be, is the servo-lag of the AO systems. The servo-lag error can be reduced with predictive control where the control is based on the future state of the atmospheric disturbance. We propose to use a linear data-driven integral predictive controller based on subspace methods that are updated in real time. The new controller only uses the measured wavefront errors and the changes in the deformable mirror commands, which allows for closed-loop operation without requiring pseudo-open loop reconstruction. This enables operation with non-linear wavefront sensors such as the pyramid wavefront sensor. We show that the proposed controller performs near-optimal control in simulations for both stationary and non-stationary disturbances and that we are able to gain several orders of magnitude in raw contrast. The algorithm has been demonstrated in the lab with MagAO-X, where we gain more than two orders of magnitude in contrast.
Additional Information
© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE). Paper 20143 received Sep. 18, 2020; accepted for publication Mar. 9, 2021; published online Apr. 6, 2021. Support for this work was provided by NASA through the NASA Hubble Fellowship grant #HST-HF2-51436.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555. MagAO-X is funded by the NSF MRI program, award #1625441. The authors declare that they have no conflict of interest.Attached Files
Published - 029001_1.pdf
Accepted Version - 2103.07566.pdf
Files
029001_1.pdf
Additional details
Identifiers
- Eprint ID
- 110369
- Resolver ID
- CaltechAUTHORS:20210821-164958966
Related works
- Describes
- https://arxiv.org/abs/2103.07566 (URL)
Funding
- NASA Hubble Fellowship
- HST-HF2-51436.001-A
- NASA
- NAS5-26555
- NSF
- AST-1625441
Dates
- Created
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2021-08-21Created from EPrint's datestamp field
- Updated
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2021-08-21Created from EPrint's last_modified field