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
查看参考文献25篇
文摘
|
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。 |
其他语种文摘
|
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,apredictive 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. |
来源
|
光学精密工程
,2018,26(3):548-555 【核心库】
|
DOI
|
10.3788/ope.20182603.0548
|
关键词
|
自适应光学
;
预测校正
;
冻结大气湍流假设
;
Shack-Hartmann波前传感器
|
地址
|
1.
中国科学院自适应光学重点实验室, 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
|
语种
|
中文 |
文献类型
|
研究性论文 |
ISSN
|
1004-924X |
学科
|
物理学 |
基金
|
国家自然科学基金资助项目
|
文献收藏号
|
CSCD:6208797
|
参考文献 共
25
共2页
|
1.
Hardy J W.
Adaptive Optics for Astronomical Telescopes,1998
|
被引
37
次
|
|
|
|
2.
李新阳. 自适应光学控制系统的有效带宽分析.
光学学报,1997,17(12):1697-1702
|
被引
35
次
|
|
|
|
3.
李新阳. 自适应光学系统的控制残余方差分析.
光学学报,2000,20(10):1328-1334
|
被引
16
次
|
|
|
|
4.
Kulcsar C. Minimum variance prediction and control for adaptive optics.
Automatica,2012,48(9):1939-1954
|
被引
4
次
|
|
|
|
5.
Poyneer L. Predictive wavefront control for adaptive optics with arbitrary control loop delays.
Journal of the Optical Society of America A,2008,25(7):1486-1496
|
被引
6
次
|
|
|
|
6.
Aitken G J M. Wavefront prediction from adaptive astronomical telescopes.
Journal of the Royal Astronomical Society of Canada,1992,86(6):288
|
被引
1
次
|
|
|
|
7.
Jorgenson M B. Prediction of atmospherically induced wave-front degradations.
Optics Letters,1992,17(7):466-468
|
被引
9
次
|
|
|
|
8.
Aitken G J M. Neural-network wavefront predictors for adaptive optics.
Journal of the Royal Astronomical Society of Canada,1994,88(4):255-256
|
被引
1
次
|
|
|
|
9.
史晓雨. 自适应光学系统变形镜控制电压预测.
强激光与粒子束,2012,24(6):1281-1286
|
被引
5
次
|
|
|
|
10.
颜召军. 基于神经网络的自适应光学系统变形镜控制电压预测方法.
光学学报,2010,30(4):911-916
|
被引
10
次
|
|
|
|
11.
Page K A. Analysis of atmospheric turbulence with applications to linear predictions.
Proceedings of European Southern Observatory 2002 ESO Conference and Workshop Proceedings,2002
|
被引
1
次
|
|
|
|
12.
颜召军. 一种自适应光学闭环系统预测控制算法的仿真研究.
光学学报,2011,31(1):0101003
|
被引
10
次
|
|
|
|
13.
颜召军. 自适应光学闭环系统实时多路自适应控制算法.
光学学报,2013,33(3):0301002
|
被引
13
次
|
|
|
|
14.
卫沛锋. 大气相干长度的瞬时测量.
光学精密工程,2016,24(8):1840-1845
|
被引
4
次
|
|
|
|
15.
Schock M. Method for a quantitative investigation of the frozen flow hypothesis.
Journal of the Optical Society of America A,2000,17(9):1650-1658
|
被引
3
次
|
|
|
|
16.
Poyneer L. Experimental verification of the frozen flow atmospheric turbulence assumption with use of astronomical adaptive optics telemetry.
Journal of the Optical Society of America A,2009,26(4):833-846
|
被引
7
次
|
|
|
|
17.
李新阳. 直接斜率波前复原算法的控制效果分析.
光电工程,1998,25(6):9-14
|
被引
6
次
|
|
|
|
18.
Gendron E. Single layer atmospheric turbulence demonstrated by adaptive optics observations.
Astrophysics and Space Science,1996,239(2):221-228
|
被引
2
次
|
|
|
|
19.
Kern B. Temporal coherence of individual turbulent patterns in atmospheric seeing.
Applied Optics,2000,39(27):4879-4885
|
被引
1
次
|
|
|
|
20.
Caccia J L. Wind and C2N profiling by single-star scintillation analysis.
Applied Optics,1987,26(7):1288-1294
|
被引
2
次
|
|
|
|
|