Infrared and Laser Engineering, Volume. 49, Issue 10, 20200299(2020)
Detection methods for instability of adaptive optics system
Figures & Tables(16)
Fig. 2. Sub apertures distribution and driver units layout of simulation system
Fig. 5. RMS of residual，distorted and compensating surface in normal closed-loop operation
Fig. 6. DM appearances and RMS curves of control voltage in normal closed loop operation
Fig. 7. Voltage curves of abnormal unit under four types of DM control voltage instability
Fig. 8. Voltage RMS curves before and after the appearance of voltage instability
Fig. 9. Autocorrelation and partial autocorrelation coefficients of second order difference of DM voltage RMS
Table 1. [in Chinese]
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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 2. [in Chinese]
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Idx Instability phenomenon Simulation process Asets1 Control voltage saturation Let several random drive voltages reach the threshold Asets2 Control voltage oscillation Let the voltage difference between adjacent frames of several random drivers exceed the normal range Asets3 Control voltage burr Keep several random drive voltages in the high range Asets4 Excessive voltage difference between local control units The random driver voltage is kept high, and the adjacent driver voltage is kept low
Table 3. [in Chinese]
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Original First difference Second difference Adftest 0 0 1 Kpsstest 1 1 0
Table 4. [in Chinese]
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Anomaly duration Training sets Asets1 Asets2 Asets3 Asets4 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 5. [in Chinese]
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Anomaly duration Test sets Asets1 Asets2 Asets3 Asets4 25 frames 1 1 0.984 1 100 frames 1 1 0.997 1 250 frames 1 1 0.998 1
Table 6. [in Chinese]
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Anomaly duration Training sets Test sets Asets1 Asets2 Asets3 Asets4 Asets1 Asets2 Asets3 Asets4 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 7. [in Chinese]
View tableView in ArticleTable 7. [in Chinese]
Anomaly duration Training sets Test sets Asets1 Asets2 Asets3 Asets4 Asets1 Asets2 Asets3 Asets4 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
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Qiwang Jia, Xinyang Li, Xi Luo. Detection methods for instability of adaptive optics system[J]. Infrared and Laser Engineering, 2020, 49(10): 20200299
Paper Information
Category: Adaptive optics
Received: Apr. 5, 2020
Accepted: --
Published Online: Jul. 6, 2021
The Author Email: Xinyang Li (xyli@ioe.ac.cn)
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