ONLINE ESTIMATION OF TIME-VARYING FREQUENCY OF A SINUSOIDAL SIGNAL

被引：2
|
作者：
Le Van Tuan [1 ]
Korotina, Marina [1 ]
Bobtsov, Alexey [1 ,2 ]
Aranovskiy, Stanislav [1 ,3 ]
Pyrkin, Anton [1 ,2 ]
机构：
[1] ITMO Univ, Fac Control Syst & Robot, St Petersburg 197101, Russia
[2] Innopolis Univ, Ctr Technol Robot & Mechatron Components, Innopolis, Russia
[3] IETR Cent Supelec, Ave Boulaie, F-35576 Cesson Sevigne, France
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 29期
关键词：
dynamic extension and mixing; persistence excitation; parameter estimation; least squares; IDENTIFICATION;
D O I：
10.1016/j.ifacol.2019.12.657
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We consider the problem of estimation of a (linearly) time-varying frequency of a sinusoidal signal with unknown phase and magnitude. Such a problem may arise in control design for optical telescopes that makes it interesting from the practical point of view. The existing methods typically use unbounded functions of time that, being multiplying by the input signal, may yield significant noise amplification and poor estimation performance. In contrast, we present a novel approach to the estimation of the linearly varying frequency based on iterative filtering yielding simple linear regression model with a scalar parameter. Illustrative numerical simulations support the theoretical results. We also present a comparison with other known methods. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：245 / 250
页数：6
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