文章基本信息

标题：A modified non-adaptive OSG-SOGI filter for estimation of a biased sinusoidal signal with global convergence properties
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作者：Giuseppe Fedele ; Gilberto Pin ; Thomas Parisini 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：530-535
DOI：10.1016/j.ifacol.2020.12.326
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents an algorithm for estimating the parameters of a biased sinusoidal signal. The proposed method uses the output signals of a second order generalized integrator without adaptation on its resonant frequency to derive a linear regression equation where the unknown parameters are a nonlinear combination of bias and frequency of the input signal. The global stability of the method is proven. Remarkably, the proposed method represents the minimum-order estimator known for the problem under consideration, being implementable by a 4th-order adaptive system. Simulation results and comparisons with existing methods show the accurate estimation capability of the proposed approach.
关键词：KeywordsFrequency estimationorthogonal signals generatorsecond order generalized integratoradaptive control