A closed-loop control method and system of a wavefront-sensorless adaptive optical system

By acquiring focal plane PSF images using a scientific camera, and using a residual wavefront estimation neural network and an autoregressive prediction model for rapid estimation, combined with non-integer frame delay compensation and a constrained model prediction controller, the hardware complexity and correction lag problems of traditional adaptive optics systems are solved, achieving stable real-time correction and high-quality imaging under strong turbulence conditions.

CN122411068APending Publication Date: 2026-07-17CHANGCHUN CHANGGUANG AORUN PHOTOELECTRIC TECH CO LTD
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Patent Information

Application Number
CN202610840076.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-11
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional adaptive optics systems suffer from complex hardware, non-common-path aberrations, measurement difficulties under low-photon conditions, latency sensitivity under high-speed dynamic turbulence, insufficient speed estimation by wavefront-less sensing methods, failure to consider time delays in deep learning methods, and lack of constraints in deformable mirror control, resulting in correction lag and insufficient stability.

Method used

A scientific camera is used to acquire focal plane PSF images. The residual wavefront estimation neural network and online autoregressive prediction model are used for rapid estimation. Combined with non-integer frame delay compensation and constrained model predictive controller, control commands that meet the deformable mirror constraints are generated to achieve stable real-time correction.

Benefits of technology

It improves the real-time performance and stability of correction under strong turbulence conditions, reduces correction lag, and enhances the quality of imaging and communication light spots.

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Abstract

The present application relates to a kind of closed-loop control method and system of wavefront sensing-free adaptive optical system, belong to optical communication technical field, solve the problem that wavefront sensing-free adaptive optical system is difficult to realize stable, real-time, reliable wavefront correction under the joint action of strong turbulence, closed-loop delay and deformable mirror actuator constraint.The method collects focal plane PSF image and pre-processes;Residual wavefront estimation neural network is used to estimate the residual Zernike coefficient estimation vector of current frame;Residual wavefront is predicted using autoregressive prediction model, and is aligned to the actual effective time of deformable mirror command by non-integer frame delay compensation, constrained model predictive controller solves the first step optimal deformable mirror voltage increment under voltage amplitude and voltage rate of change constraint, and the corresponding control command is output to deformable mirror actuator, to realize system stable closed-loop adaptive optical correction.The present application improves the real-time, stability and engineering implementability of closed-loop control under high-speed dynamic turbulence.
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