Paper
13 September 2012 On the rejection of vibrations in adaptive optics systems
Author Affiliations +
Abstract
In modern adaptive optics systems, lightly damped sinusoidal oscillations resulting from telescope structural vibrations have a significant deleterious impact on the quality of the image collected at the detector plane. Such oscillations are often at frequencies beyond the bandwidth of the wave-front controller that therefore is either incapable of rejecting them or might even amplify their detrimental impact on the overall AO performance. A technique for the rejection of periodic disturbances acting at the output of unknown plants, which has been recently presented in literature, has been adapted to the problem of rejecting vibrations in AO loops. The proposed methodology aims at estimating phase and amplitude of the harmonic disturbance together with the response of the unknown plant at the frequency of vibration. On the basis of such estimates, a control signal is generated to cancel out the periodic perturbation. Additionally, the algorithm can be easily extended to cope with unexpected time variations of the vibrations frequency by adding a frequency tracking module based either on a simple PLL architecture or on a classical extended Kalman filter. Oversampling can be also easily introduced to efficiently correct for vibrations approaching the sampling frequency. The approach presented in this contribution is compared against a different algorithm for vibration rejection available in literature, in order to identify drawbacks and advantages. Finally, the performance of the proposed vibration cancellation technique has been tested in realistic scenarios defined exploiting tip/tilt measurements from MACAO and NACO
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Riccardo Muradore, Lorenzo Pettazzi, Enrico Fedrigo, and Richard Clare "On the rejection of vibrations in adaptive optics systems", Proc. SPIE 8447, Adaptive Optics Systems III, 844712 (13 September 2012); https://doi.org/10.1117/12.927198
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Cited by 10 scholarly publications.
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KEYWORDS
Adaptive optics

Detection and tracking algorithms

Algorithm development

Image quality

Virtual colonoscopy

Autoregressive models

Data modeling

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