Tip-tilt disturbance model identification based on non-linear least squares fitting for Linear Quadratic Gaussian control
Tip-tilt disturbance model identification based on non-linear least squares fitting for Linear Quadratic Gaussian control
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DOI：
10.1016/j.optcom.2018.01.022
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发表时间：
2018-05-15
影响因子：
2.4
通讯作者：
Xu, Bing
中科院分区：
文献类型：
--
作者：
Yang, Kangjian;Yang, Ping;Xu, Bing
针对线性二次型高斯控制，提出了一种倾翻扰动模型的辨识方法。该辨识方法基于Levenberg-Marquardt方法，无需辅助系统，先验信息少，便于在线辨识倾翻扰动模型，便于实时控制。该辨识方法使线性二次高斯控制在不同的自适应光学系统中有效地进行减振。实验数据验证了线性二次型高斯控制与倾翻扰动模型辨识方法的有效性，并在重放模式下进行了仿真。(C)2018爱思唯尔B. V.保留所有权利。
We propose a method to identify tip-tilt disturbance model for Linear Quadratic Gaussian control. This identification method based on Levenberg-Marquardt method conducts with a little prior information and no auxiliary system and it is convenient to identify the tip-tilt disturbance model on-line for real-time control. This identification method makes it easy that Linear Quadratic Gaussian control runs efficiently in different adaptive optics systems for vibration mitigation. The validity of the Linear Quadratic Gaussian control associated with this tip-tilt disturbance model identification method is verified by experimental data, which is conducted in replay mode by simulation. (C) 2018 Elsevier B.V. All rights reserved.