基于dft的自适应光学系统振动抑制方法

D. Kania, J. Borkowski
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引用次数: 1

摘要

自适应光学系统通常用于许多光学结构,以减少扰动和提高系统性能。这种系统的问题是由于整个结构或跟踪过程的震动等影响而产生的不良振动。本文提出了一种多频信号的频率、幅度和相位估计方法,该方法可用于自适应抑制这些振动。估计方法是基于使用FFT程序。不需要的信号通常是指数阻尼的谐波振荡。估计误差取决于多个参数,由系统分量和随机分量组成。系统误差与信号相位、测量窗口内采样数N、CiR值(测量窗口内信号周期数)、THD值和时间窗阶数h有关,随机误差主要与噪声方差和信噪比值有关。本文研究了正弦信号的相位和指数阻尼正弦参数的估计。误差信号的形状具有周期性,它与信号周期和滑动测量窗口有关。当CiR=1.6,阻尼比为0.1%时,频率估计误差为10-5 Hz/Hz,幅度估计误差为10-4 V/V,相位估计误差为10-4 rad。本文提供的信息可用于在开始消除振动过程之前确定其效率的大致水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The rejection of vibrations in adaptive optics systems using a DFT-based estimation method
Adaptive optics systems are commonly used in many optical structures to reduce perturbations and to increase the system performance. The problem in such systems is undesirable vibrations due to some effects as shaking of the whole structure or the tracking process. This paper presents a frequency, amplitude and phase estimation method of a multifrequency signal that can be used to reject these vibrations in an adaptive method. The estimation method is based on using the FFT procedure. The undesirable signals are usually exponentially damped harmonic oscillations. The estimation error depends on several parameters and consists of a systematic component and a random component. The systematic error depends on the signal phase, the number of samples N in a measurement window, the value of CiR (number of signal periods in a measurement window), the THD value and the time window order H. The random error depends mainly on the variance of noise and the SNR value. This paper shows research on the sinusoidal signal phase and the estimation of exponentially damped sinusoids parameters. The shape of errors signals is periodical and it is associated with the signal period and with the sliding measurement window. For CiR=1.6 and the damping ratio 0.1% the error was in the order of 10-5 Hz/Hz, 10-4 V/V and 10-4 rad for the frequency, the amplitude and the phase estimation respectively. The information provided in this paper can be used to determine the approximate level of the efficiency of the vibrations elimination process before starting it.
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