Poster + Paper
13 December 2020 Automated reflective optical system alignment with focal plane sensing and Kalman filters
Author Affiliations +
Conference Poster
Abstract
Automated alignment can significantly reduce the time and labor costs in optical system setup and maintenance, especially for space and remote, ground-based telescopes where manual adjustment remains difficult. We demonstrate an automated alignment technique on a multi-element reflective system using pure focal plane sensing and model-based optimal estimation and control. Using either an iterated extended Kalman filter or a square-root unscented Kalman filter, we are able to consistently bring the linear misalignments from around 1 mm to < 5 μm and the angular misalignments from around 500 arcsec to < 6 arcsec in simulation. Combined with our lab's previous work, we can generalize this auto-aligning technique to more complex optical systems with multiple reflective and refractive elements.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Duan Li and Dmitry Savransky "Automated reflective optical system alignment with focal plane sensing and Kalman filters", Proc. SPIE 11451, Advances in Optical and Mechanical Technologies for Telescopes and Instrumentation IV, 114514T (13 December 2020); https://doi.org/10.1117/12.2561589
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KEYWORDS
Mirrors

Sensing systems

Off axis mirrors

Filtering (signal processing)

Imaging systems

Optical alignment

Wavefront sensors

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