Deep learning-based fiber laser sub-aperture coherent synthesis phase control method

A fiber laser, coherent synthesis technology, applied in lasers, laser parts, optics, etc., can solve the problems of phase modulation carrier frequency increase, system complexity limit array beam, phase noise characteristic frequency increase, etc., to achieve accurate preliminary compensation, Reduce the number of convergence steps and improve the effect of control bandwidth

A fiber laser, coherent synthesis technology, applied in lasers, laser parts, optics, etc., can solve the problems of phase modulation carrier frequency increase, system complexity limit array beam, phase noise characteristic frequency increase, etc., to achieve accurate preliminary compensation, Reduce the number of convergence steps and improve the effect of control bandwidth

CN109802291AActive Publication Date: 2019-05-24NAT UNIV OF DEFENSE TECH

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  • Deep learning-based fiber laser sub-aperture coherent synthesis phase control method
  • Deep learning-based fiber laser sub-aperture coherent synthesis phase control method
  • Deep learning-based fiber laser sub-aperture coherent synthesis phase control method

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[0038] Embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0039] Such as figure 1 As shown, an embodiment provided by the present invention, a deep learning-based fiber laser sub-aperture coherent synthesis phase control method, includes:

[0040] The non-Fourier plane spot images of the fiber laser sub-aperture coherent combining system are obtained as training samples, and the analysis model is trained by the training samples. The training samples include non-Fourier plane spot images and sample labels corresponding to the non-Fourier plane spot images, and the sample labels include a one-dimensional vector composed of relative phases of sub-beams in the low-power sampling array beam.

[0041] In the fiber laser sub-aperture coherent synthesis system, the non-Fourier plane spot image corresponding to the fiber laser emitting surface array beam containing phase noise to be controlled is obtained in ...

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Abstract

The invention provides a deep learning-based fiber laser sub-aperture coherent synthesis phase control method. According to the method, firstly, a non-Fourier plane light spot image is acquired as a training sample, and an analysis model is trained by the training sample. Secondly, a non-Fourier plane light spot image corresponding to a to-be-controlled optical fiber laser emission surface array light beam containing phase noise is acquired in real time in an optical fiber laser sub-aperture coherent synthesis system. Thirdly, the obtained non-Fourier plane light spot image is input into the trained analysis model for analysis. Fourthly, the relative phase information of each light beam in the optical fiber laser emission surface array light beam corresponding to the non-Fourier plane light spot image is obtained. Fifthly, the preliminary compensation is performed on the piston phase error of the optical fiber laser emission surface array light beam. Fifthly, the secondary compensationis performed on the piston phase error after preliminary compensation by using a random parallel gradient descent algorithm to ensure that all light beams in the optical fiber laser emission surfacearray light beam are effectively controlled to be output in the same phase. The method has the advantages of high control precision, high convergence speed, high control bandwidth and the like.

Description

technical field [0001] The present invention relates to the field of fiber laser coherent combination, in particular to a method for controlling the phase of fiber laser sub-aperture coherent combination based on deep learning. Background technique [0002] Coherent combination technology is an effective way to achieve high average power and high beam quality laser output. The key to realize coherent combination is to control the phase of each beam to ensure that the output of each beam is in phase. [0003] But in the prior art: the heterodyne method (J.Anderegg, et al., Proc.of SPIE 6102, 61020U (2006).) uses a beam splitter to split the array beam, one part is output as the main laser, and the other part is combined with the reference light Interference, which detects and compensates the phase of each beam by detecting the interference signal, so as to ensure that the phase of the array beam is consistent, but this method needs to provide the same number of detectors and ...

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Application Information

Patent Timeline
24 May 2019
Publication
CN109802291A
IPC
H01S3/10; H01S3/00; G02B27/10; G06K9/62; G06N3/04
Inventors
周朴; 侯天悦