冻结大气湍流下自适应光学系统的预测校正性能

李正汉

doi:10.3788/OPE.20182603.0548

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冻结大气湍流下自适应光学系统的预测校正性能

现代应用光学 | 更新时间：2020-07-05

- 冻结大气湍流下自适应光学系统的预测校正性能
- Performance of predictive correction for adaptive optics systems with frozen flow turbulence
- 光学精密工程 2018年26卷第3期页码：548-555
- 作者机构：
  
  1.中国科学院自适应光学重点实验室, 四川成都 610209
  2.中国科学院光电技术研究所, 四川成都 610209
  3.中国科学院大学, 北京 100049
- 作者简介：
  
  [ "李正汉(1993-), 男, 湖北武汉人, 博士研究生, 主要从事自适应光学系统信号处理方面的研究。E-mail: lizh_ioe@163.com" ]
- 基金信息：
  
  国家自然科学基金资助项目(61675205)
- DOI：10.3788/OPE.20182603.0548
  中图分类号： O439
- 收稿日期：2017-10-31，
  
  录用日期：2017-11-17，
  
  纸质出版日期：2018-03-25
- 稿件说明：
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李正汉. 冻结大气湍流下自适应光学系统的预测校正性能[J]. 光学精密工程, 2018,26(3):548-555.

Zheng-han LI. Performance of predictive correction for adaptive optics systems with frozen flow turbulence[J]. Optics and precision engineering, 2018, 26(3): 548-555.
李正汉. 冻结大气湍流下自适应光学系统的预测校正性能[J]. 光学精密工程, 2018,26(3):548-555. DOI： 10.3788/OPE.20182603.0548.

Zheng-han LI. Performance of predictive correction for adaptive optics systems with frozen flow turbulence[J]. Optics and precision engineering, 2018, 26(3): 548-555. DOI： 10.3788/OPE.20182603.0548.

摘要

针对自适应光学系统的校正滞后问题，提出预测校正方法，并对预测校正的鲁棒性进行了分析。冻结湍流假设下，Shack-Hartmann波前传感器的探测斜率一定程度保留了湍流的时域演变模式。利用横向风信息对斜率进行傅里叶平移，能实现斜率的预测。采用直接斜率法计算变形镜面形，能实现预测校正。仿真结果表明，提出的波前预测方法在横向风已知时，几乎能完全克服延迟导致的性能损失；当横向风需要估计时，该方法在风向估计准确的条件下能容忍1倍于自身的风速估计误差，或者在风速估计准确的条件下60°的风向估计误差，均能实现校正性能的提升；在风速和风向误差同时存在时，在较大的误差范围内依然能够提升系统的校正能力。

Abstract

Accurate prediction of the atmospheric turbulence evolution in the next few sampling cycles can compensate for the time delay in the control systems of adaptive optics (AO) systems. In this paper

a predictive correction method in AO systems is proposed

and its robustness is analyzed. Under the frozen-flow assumption

the translational motion can be identified using the slope measurements of a Shack-Hartmann wavefront sensor (SHWS) in AO systems. Using the transverse wind information

prediction of the future slope can be achieved by Fourier translation. The shape of the deformable mirror (DM) can be calculated by the direct-gradient wavefront reconstruction algorithm. The aberrated wavefront is corrected by the DM. With a known transverse wind

the proposed predictive correction can provide a perfect compensation for the decline of the dynamic performance caused by delays in the control system. With estimated wind parameters

improvement of the correction efficiency can be obtained as long as the wind-velocity estimation error is less than the velocity itself

while the wind direction is estimated accurately

or the direction error is less than 60° while the wind speed is estimated accurately. With a simultaneous wind-velocity and direction error

the correction efficiency can still be improved within a large error range.

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Keywords

references

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