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Adaptive Optics Tip-Tilt Correction Based on Smith Predictor and Filter-Optimized Linear Active Disturbance Rejection Control Method.

作者信息

Kong Lingxi, Yang Kangjian, Su Chunxuan, Guo Sicheng, Wang Shuai, Cheng Tao, Yang Ping

机构信息

Key Laboratory on Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China.

Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China.

出版信息

Sensors (Basel). 2023 Jul 27;23(15):6724. doi: 10.3390/s23156724.

DOI:10.3390/s23156724
PMID:37571508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10422630/
Abstract

A tip-tilt mirror (TTM) control method is designed to enhance the control bandwidth and ensure the rejection performance of the adaptive optics (AO) tip-tilt correction system. Optimized with the Smith predictor and filter, linear active disturbance rejection (LADRC) is adopted to achieve the tip-tilt correction. An AO tip-tilt correction experimental platform was built to validate the method. Experimental results show that the proposed method improves the control bandwidth of the system by at least 3.6 times compared with proportional-integral (PI) control. In addition, under the same control bandwidth condition, compared with the Smith predictor and proportional-integral (PI-Smith) control method, the system is more capable of rejecting internal and external disturbances, and its dynamic response performance is improved by more than 29%.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/a9b4f971c7eb/sensors-23-06724-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/47e57e28c953/sensors-23-06724-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/19d0b84f5c15/sensors-23-06724-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/9278847c5900/sensors-23-06724-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/9aca9b949f4e/sensors-23-06724-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/168c3f8d2baa/sensors-23-06724-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/9ffd381d8115/sensors-23-06724-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/d02f53e715c3/sensors-23-06724-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/f4fe27b4be95/sensors-23-06724-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/8a879ac9393d/sensors-23-06724-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/ef53c80f6d74/sensors-23-06724-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/576e3443402a/sensors-23-06724-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/c1b30609a844/sensors-23-06724-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/9de3cf4d28fb/sensors-23-06724-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/eab6025dbeea/sensors-23-06724-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/8d7ae15e35b5/sensors-23-06724-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/69c9cd8df951/sensors-23-06724-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/9fb3cdbec83b/sensors-23-06724-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/a9b4f971c7eb/sensors-23-06724-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/47e57e28c953/sensors-23-06724-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/19d0b84f5c15/sensors-23-06724-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/9278847c5900/sensors-23-06724-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/9aca9b949f4e/sensors-23-06724-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/168c3f8d2baa/sensors-23-06724-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/9ffd381d8115/sensors-23-06724-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/d02f53e715c3/sensors-23-06724-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/f4fe27b4be95/sensors-23-06724-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/8a879ac9393d/sensors-23-06724-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/ef53c80f6d74/sensors-23-06724-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/576e3443402a/sensors-23-06724-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/c1b30609a844/sensors-23-06724-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/9de3cf4d28fb/sensors-23-06724-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/eab6025dbeea/sensors-23-06724-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/8d7ae15e35b5/sensors-23-06724-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/69c9cd8df951/sensors-23-06724-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/9fb3cdbec83b/sensors-23-06724-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5284/10422630/a9b4f971c7eb/sensors-23-06724-g018.jpg

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本文引用的文献

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Virtual Dual-Loop Feedback Control with Model-Construction Linear Extended State Observer for Free Space Optical Communication.基于模型构建线性扩张状态观测器的自由空间光通信虚拟双环反馈控制
Sensors (Basel). 2019 Sep 6;19(18):3846. doi: 10.3390/s19183846.
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Vibration identification based on Levenberg-Marquardt optimization for mitigation in adaptive optics systems.基于Levenberg-Marquardt优化的自适应光学系统振动识别与抑制
Appl Opt. 2018 Apr 10;57(11):2820-2826. doi: 10.1364/AO.57.002820.