Journals
Advanced Photonics
Photonics Insights
Advanced Photonics Nexus
Photonics Research
Advanced Imaging
View All Journals
Chinese Optics Letters
High Power Laser Science and Engineering
Articles
Optics
Physics
Geography
View All Subjects
Conferences
CIOP
HPLSE
AP
View All Events
News
About CLP
Search by keywords or author
Login
Registration
Login in
Registration
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
metasurface
laser
polarization
nir
lidar
lithium niobate
Journals >
Infrared and Laser Engineering >
Volume 49 >
Issue 10 >
Page 20200299 > Article
Infrared and Laser Engineering
Vol. 49, Issue 10, 20200299 (2020)
Detection methods for instability of adaptive optics system
Qiwang Jia
1、2、3
, Xinyang Li
1、2、*
, and Xi Luo
1、2
Author Affiliations
1
Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, China
2
Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
show less
DOI:
10.3788/IRLA20200299
Cite this Article
Qiwang Jia, Xinyang Li, Xi Luo. Detection methods for instability of adaptive optics system[J]. Infrared and Laser Engineering, 2020, 49(10): 20200299
Copy Citation Text
EndNote(RIS)
BibTex
Plain Text
show less
Fig. 1.
Close loop structure of adaptive optical system
Download full size
|
View in the Article
Fig. 2.
Sub apertures distribution and driver units layout of simulation system
Download full size
|
View in the Article
Fig. 3.
Principle diagram of simulation system controller
Download full size
|
View in the Article
Fig. 4.
127 units AO system simulation process
Download full size
|
View in the Article
Fig. 5.
RMS of residual,distorted and compensating surface in normal closed-loop operation
Download full size
|
View in the Article
Fig. 6.
DM appearances and RMS curves of control voltage in normal closed loop operation
Download full size
|
View in the Article
Fig. 7.
Voltage curves of abnormal unit under four types of DM control voltage instability
Download full size
|
View in the Article
Fig. 8.
Voltage RMS curves before and after the appearance of voltage instability
Download full size
|
View in the Article
Fig. 9.
Autocorrelation and partial autocorrelation coefficients of second order difference of DM voltage RMS
Download full size
|
View in the Article
AO system components
Abnormal phenomenon
Possible causes
Hartmann wavefront sensor
Subaperture lack of light
The spot intensity is too low to be detected
Obstacles block light path
Incomplete wavefront caused by pupil deviation
Sub-spot saturation
The spot intensity is higher than the sensor threshold
The slope of subaperture changes sharply
Stray light interference
Background noise interference
The light source flickers
Mutation of work environment
Sub-spot jitter
Light source jitter
Work platform jitter
Closed-loop overshoot
Overall slope mutation
Optical axis offset
Deformable mirror
Control voltage saturation
Aberrations are too large
Drive units failure
Control voltage oscillation
Closed-loop overshoot
Control voltage burr
Drive unit exception
Excessive voltage difference between local control units
Mismatch between DM and sensor
Table 1.
[in Chinese]
View in the Article
Id
x
Instability phenomenon
Simulation process
A
sets1
Control voltage saturation
Let several random drive voltages reach the threshold
A
sets2
Control voltage oscillation
Let the voltage difference between adjacent frames of several random
drivers exceed the normal range
A
sets3
Control voltage burr
Keep several random drive voltages in the high range
A
sets4
Excessive voltage difference between
local control units
The random driver voltage is kept high, and the adjacent driver voltage is kept low
Table 2.
[in Chinese]
View in the Article
Original
First difference
Second difference
Adftest
0
0
1
Kpsstest
1
1
0
Table 3.
[in Chinese]
View in the Article
Anomaly duration
Training sets
A
sets1
A
sets2
A
sets3
A
sets4
Accuracy
Clustering centroids
Accuracy
Clustering centroids
Accuracy
Clustering centroids
Accuracy
Clustering centroids
25 frames
0.988
0.687,4.439
0.896
0.432,1.698
0.9
0.429,2.27
0.9
0.429,1.798
100 frames
0.996
0.646,4.607
0.926
0.498,1.707
1
0.63,2.685
0.934
0.509,2.039
250 frames
0.999
0.472,4.622
1
0.466,1.854
1
0.467,2.948
1
0.467,2.432
Table 4.
[in Chinese]
View in the Article
Anomaly duration
Test sets
A
sets1
A
sets2
A
sets3
A
sets4
25 frames
1
1
0.984
1
100 frames
1
1
0.997
1
250 frames
1
1
0.998
1
Table 5.
[in Chinese]
View in the Article
Anomaly duration
Training sets
Test sets
A
sets1
A
sets2
A
sets3
A
sets4
A
sets1
A
sets2
A
sets3
A
sets4
25 frames
1
0.908
1
1
1
1
1
1
100 frames
1
0.999
1
1
1
1
1
1
250 frames
1
1
1
1
1
1
1
1
Table 6.
[in Chinese]
View in the Article
Anomaly duration
Training sets
Test sets
A
sets1
A
sets2
A
sets3
A
sets4
A
sets1
A
sets2
A
sets3
A
sets4
25 frames
1
1
1
0.964
1
1
1
0.952
100 frames
1
1
1
0.633
1
1
1
0.628
250 frames
1
1
1
0.538
1
1
1
0.5878
Table 7.
[in Chinese]
View in the Article
Abstract
Get PDF(in Chinese)
Figures&Tables (16)
Equations (8)
References (12)
Get Citation
Copy Citation Text
Qiwang Jia, Xinyang Li, Xi Luo. Detection methods for instability of adaptive optics system[J]. Infrared and Laser Engineering, 2020, 49(10): 20200299
Download Citation
EndNote(RIS)
BibTex
Plain Text
Tools
Share
Save the article for my favorites
Paper Information
Category: Adaptive optics
Received: Apr. 5, 2020
Accepted: --
Published Online: Oct. 25, 2020
The Author Email: Li Xinyang (xyli@ioe.ac.cn)
DOI:
10.3788/IRLA20200299
Recommended Topics
laser devices and laser physics
Lasers and Laser Optics
Laser physics
laser manufacturing
Instrumentation, Measurement and Metrology
Set citation alerts for the article
Please enter your email address
Cancel
Confirm